all-MiniLM-L6-v2-personal-project-default-2024-02-16

This model is a fine-tuned version of sentence-transformers/all-MiniLM-L6-v2 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 11.1233
eval_runtime: 6.7277
eval_samples_per_second: 6.986
eval_steps_per_second: 0.297
step: 0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2

Downloads last month: 8

Safetensors

Model size

22.7M params

Tensor type

F32

Model tree for brugmark/all-MiniLM-L6-v2-personal-project-default-2024-02-16

Base model

nreimers/MiniLM-L6-H384-uncased

Quantized

sentence-transformers/all-MiniLM-L6-v2

Finetuned

(997)

this model