metadata
license: llama3
base_model: meta-llama/Meta-Llama-3-8B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: UTI_L3_625steps_1e7rate_SFT
results: []
UTI_L3_625steps_1e7rate_SFT
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9216
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: 1e-07
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 625
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.4485 | 0.3333 | 25 | 2.4666 |
| 2.4645 | 0.6667 | 50 | 2.4522 |
| 2.452 | 1.0 | 75 | 2.4164 |
| 2.391 | 1.3333 | 100 | 2.3529 |
| 2.2825 | 1.6667 | 125 | 2.2874 |
| 2.1758 | 2.0 | 150 | 2.2259 |
| 2.2189 | 2.3333 | 175 | 2.1723 |
| 2.1642 | 2.6667 | 200 | 2.1247 |
| 2.1223 | 3.0 | 225 | 2.0833 |
| 2.0341 | 3.3333 | 250 | 2.0461 |
| 1.9642 | 3.6667 | 275 | 2.0153 |
| 1.998 | 4.0 | 300 | 1.9903 |
| 2.0321 | 4.3333 | 325 | 1.9697 |
| 1.9443 | 4.6667 | 350 | 1.9542 |
| 1.9787 | 5.0 | 375 | 1.9421 |
| 1.9403 | 5.3333 | 400 | 1.9349 |
| 1.9464 | 5.6667 | 425 | 1.9279 |
| 1.9067 | 6.0 | 450 | 1.9245 |
| 1.927 | 6.3333 | 475 | 1.9228 |
| 1.8829 | 6.6667 | 500 | 1.9220 |
| 1.9613 | 7.0 | 525 | 1.9229 |
| 1.9701 | 7.3333 | 550 | 1.9218 |
| 1.9411 | 7.6667 | 575 | 1.9217 |
| 1.9127 | 8.0 | 600 | 1.9216 |
| 1.9497 | 8.3333 | 625 | 1.9216 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.0.0+cu117
- Datasets 2.19.2
- Tokenizers 0.19.1