metadata
library_name: transformers
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama_1b_step2_batch_grad_v3
results: []
llama_1b_step2_batch_grad_v3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3369
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7207 | 0.2727 | 50 | 0.6852 |
| 0.4441 | 0.5453 | 100 | 0.4893 |
| 0.4673 | 0.8180 | 150 | 0.4010 |
| 0.2128 | 1.0907 | 200 | 0.3742 |
| 0.2499 | 1.3633 | 250 | 0.3512 |
| 0.2515 | 1.6360 | 300 | 0.3407 |
| 0.226 | 1.9087 | 350 | 0.3369 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1