metadata

license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
  - generated_from_trainer
model-index:
  - name: all-MiniLM-L6-v2-personal-project-default-2024-06-12
    results: []

all-MiniLM-L6-v2-personal-project-default-2024-06-12

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: 10.9753
eval_runtime: 311.6865
eval_samples_per_second: 810.231
eval_steps_per_second: 25.32
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: 0.002
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1