Delete train_data/muril_te_domain
Browse files- train_data/muril_te_domain/checkpoint-210000/README.md +0 -202
- train_data/muril_te_domain/checkpoint-210000/adapter_config.json +0 -32
- train_data/muril_te_domain/checkpoint-210000/adapter_model.safetensors +0 -3
- train_data/muril_te_domain/checkpoint-210000/optimizer.pt +0 -3
- train_data/muril_te_domain/checkpoint-210000/rng_state.pth +0 -3
- train_data/muril_te_domain/checkpoint-210000/scheduler.pt +0 -3
- train_data/muril_te_domain/checkpoint-210000/trainer_state.json +0 -3708
- train_data/muril_te_domain/checkpoint-210000/training_args.bin +0 -3
- train_data/muril_te_domain/checkpoint-211128/README.md +0 -202
- train_data/muril_te_domain/checkpoint-211128/adapter_config.json +0 -32
- train_data/muril_te_domain/checkpoint-211128/adapter_model.safetensors +0 -3
- train_data/muril_te_domain/checkpoint-211128/optimizer.pt +0 -3
- train_data/muril_te_domain/checkpoint-211128/rng_state.pth +0 -3
- train_data/muril_te_domain/checkpoint-211128/scheduler.pt +0 -3
- train_data/muril_te_domain/checkpoint-211128/trainer_state.json +0 -3722
- train_data/muril_te_domain/checkpoint-211128/training_args.bin +0 -3
- train_data/muril_te_domain/config.json +0 -26
- train_data/muril_te_domain/generation_config.json +0 -5
- train_data/muril_te_domain/model.safetensors +0 -3
- train_data/muril_te_domain/special_tokens_map.json +0 -7
- train_data/muril_te_domain/tokenizer.json +0 -0
- train_data/muril_te_domain/tokenizer_config.json +0 -58
- train_data/muril_te_domain/vocab.txt +0 -0
train_data/muril_te_domain/checkpoint-210000/README.md
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---
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base_model: google/muril-base-cased
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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### Direct Use
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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[More Information Needed]
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## Bias, Risks, and Limitations
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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[More Information Needed]
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## Evaluation
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### Testing Data, Factors & Metrics
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#### Testing Data
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[More Information Needed]
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#### Factors
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[More Information Needed]
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#### Metrics
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[More Information Needed]
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### Results
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#### Summary
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## Model Examination [optional]
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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train_data/muril_te_domain/checkpoint-210000/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "BertForMaskedLM",
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"parent_library": "transformers.models.bert.modeling_bert"
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},
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"base_model_name_or_path": "google/muril-base-cased",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"value",
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"query"
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"use_dora": false,
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"use_rslora": false
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}
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size 2366064
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"best_metric": null,
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"epoch": 2.9839612085042893,
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"eval_steps": 2000,
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"global_step": 210000,
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"is_hyper_param_search": false,
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"log_history": [
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"epoch": 0.007104669544057832,
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"learning_rate": 1.1604224885141856e-06,
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train_data/muril_te_domain/checkpoint-210000/training_args.bin
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:a155e4cb827d8adce80bd8a3d56690bbbfcc49bade0cf111e2c674145f2ba6c6
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| 3 |
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size 5304
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train_data/muril_te_domain/checkpoint-211128/README.md
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|
| 1 |
-
---
|
| 2 |
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base_model: google/muril-base-cased
|
| 3 |
-
library_name: peft
|
| 4 |
-
---
|
| 5 |
-
|
| 6 |
-
# Model Card for Model ID
|
| 7 |
-
|
| 8 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
-
|
| 10 |
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| 11 |
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|
| 12 |
-
## Model Details
|
| 13 |
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|
| 14 |
-
### Model Description
|
| 15 |
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|
| 16 |
-
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
-
|
| 18 |
-
|
| 19 |
-
|
| 20 |
-
- **Developed by:** [More Information Needed]
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| 21 |
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| 22 |
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- **Shared by [optional]:** [More Information Needed]
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| 23 |
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- **Model type:** [More Information Needed]
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| 24 |
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| 25 |
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| 26 |
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- **Finetuned from model [optional]:** [More Information Needed]
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| 27 |
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| 28 |
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### Model Sources [optional]
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| 34 |
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- **Demo [optional]:** [More Information Needed]
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| 35 |
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| 36 |
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## Uses
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| 38 |
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| 39 |
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| 40 |
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| 43 |
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| 44 |
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[More Information Needed]
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### Downstream Use [optional]
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| 49 |
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| 50 |
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| 53 |
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| 55 |
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| 56 |
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[More Information Needed]
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| 58 |
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## Bias, Risks, and Limitations
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| 59 |
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| 60 |
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|
| 61 |
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| 62 |
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| 64 |
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### Recommendations
|
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| 66 |
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| 67 |
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| 68 |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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| 69 |
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| 70 |
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## How to Get Started with the Model
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| 71 |
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| 72 |
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Use the code below to get started with the model.
|
| 73 |
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| 74 |
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[More Information Needed]
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| 75 |
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| 76 |
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| 82 |
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| 83 |
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| 84 |
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| 86 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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| 93 |
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#### Training Hyperparameters
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| 94 |
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|
| 95 |
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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| 96 |
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| 97 |
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| 100 |
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| 101 |
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[More Information Needed]
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| 102 |
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| 103 |
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## Evaluation
|
| 104 |
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|
| 105 |
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|
| 106 |
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| 107 |
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### Testing Data, Factors & Metrics
|
| 108 |
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| 109 |
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#### Testing Data
|
| 110 |
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| 111 |
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|
| 112 |
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| 113 |
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[More Information Needed]
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| 115 |
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#### Factors
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| 116 |
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| 117 |
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|
| 118 |
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| 119 |
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[More Information Needed]
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| 120 |
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| 121 |
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#### Metrics
|
| 122 |
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|
| 124 |
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|
| 125 |
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[More Information Needed]
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| 126 |
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| 127 |
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### Results
|
| 128 |
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| 129 |
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[More Information Needed]
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| 130 |
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|
| 131 |
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#### Summary
|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
-
## Model Examination [optional]
|
| 136 |
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| 137 |
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<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
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|
| 139 |
-
[More Information Needed]
|
| 140 |
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|
| 141 |
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## Environmental Impact
|
| 142 |
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|
| 143 |
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
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|
| 145 |
-
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
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| 147 |
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- **Hardware Type:** [More Information Needed]
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| 152 |
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|
| 153 |
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## Technical Specifications [optional]
|
| 154 |
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|
| 155 |
-
### Model Architecture and Objective
|
| 156 |
-
|
| 157 |
-
[More Information Needed]
|
| 158 |
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| 159 |
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### Compute Infrastructure
|
| 160 |
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|
| 161 |
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[More Information Needed]
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| 162 |
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| 163 |
-
#### Hardware
|
| 164 |
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| 165 |
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[More Information Needed]
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| 166 |
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| 167 |
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#### Software
|
| 168 |
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| 169 |
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[More Information Needed]
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| 170 |
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| 171 |
-
## Citation [optional]
|
| 172 |
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|
| 173 |
-
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
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|
| 175 |
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**BibTeX:**
|
| 176 |
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|
| 177 |
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[More Information Needed]
|
| 178 |
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|
| 179 |
-
**APA:**
|
| 180 |
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|
| 181 |
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[More Information Needed]
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| 182 |
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| 183 |
-
## Glossary [optional]
|
| 184 |
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| 185 |
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| 186 |
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| 187 |
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[More Information Needed]
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| 188 |
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| 189 |
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## More Information [optional]
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| 192 |
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| 193 |
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## Model Card Authors [optional]
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| 195 |
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| 196 |
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| 197 |
-
## Model Card Contact
|
| 198 |
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|
| 199 |
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[More Information Needed]
|
| 200 |
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### Framework versions
|
| 201 |
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|
| 202 |
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- PEFT 0.13.2
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train_data/muril_te_domain/checkpoint-211128/adapter_config.json
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{
|
| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": {
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| 4 |
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"base_model_class": "BertForMaskedLM",
|
| 5 |
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"parent_library": "transformers.models.bert.modeling_bert"
|
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},
|
| 7 |
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"base_model_name_or_path": "google/muril-base-cased",
|
| 8 |
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"bias": "none",
|
| 9 |
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"fan_in_fan_out": false,
|
| 10 |
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"inference_mode": true,
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| 11 |
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"init_lora_weights": true,
|
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"layer_replication": null,
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"layers_pattern": null,
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| 14 |
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"layers_to_transform": null,
|
| 15 |
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"loftq_config": {},
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| 16 |
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"lora_alpha": 32,
|
| 17 |
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"lora_dropout": 0.1,
|
| 18 |
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"megatron_config": null,
|
| 19 |
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"megatron_core": "megatron.core",
|
| 20 |
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"modules_to_save": null,
|
| 21 |
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"peft_type": "LORA",
|
| 22 |
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"r": 16,
|
| 23 |
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"rank_pattern": {},
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"target_modules": [
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| 26 |
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"value",
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| 27 |
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"query"
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],
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| 29 |
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train_data/muril_te_domain/checkpoint-211128/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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train_data/muril_te_domain/checkpoint-211128/training_args.bin
DELETED
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train_data/muril_te_domain/config.json
DELETED
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| 1 |
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| 2 |
-
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train_data/muril_te_domain/generation_config.json
DELETED
|
@@ -1,5 +0,0 @@
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|
| 1 |
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train_data/muril_te_domain/model.safetensors
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| 1 |
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train_data/muril_te_domain/special_tokens_map.json
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|
@@ -1,7 +0,0 @@
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|
| 1 |
-
{
|
| 2 |
-
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|
| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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train_data/muril_te_domain/tokenizer.json
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train_data/muril_te_domain/tokenizer_config.json
DELETED
|
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|
|
| 1 |
-
{
|
| 2 |
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| 3 |
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| 10 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 23 |
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
-
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| 35 |
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| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
-
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|
| 40 |
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|
| 41 |
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|
| 42 |
-
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|
| 43 |
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|
| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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| 48 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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train_data/muril_te_domain/vocab.txt
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