metadata
license: other
base_model: yahma/llama-7b-hf
tags:
- generated_from_trainer
model-index:
- name: V0224O2
results: []
V0224O2
This model is a fine-tuned version of yahma/llama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7463
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- lr_scheduler_warmup_steps: 20
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.92 | 0.13 | 10 | 2.0370 |
| 1.2885 | 0.26 | 20 | 1.0103 |
| 0.9359 | 0.39 | 30 | 0.8890 |
| 0.8522 | 0.52 | 40 | 0.8425 |
| 0.8213 | 0.65 | 50 | 0.8151 |
| 0.798 | 0.78 | 60 | 0.8006 |
| 0.7714 | 0.91 | 70 | 0.7896 |
| 0.7598 | 1.04 | 80 | 0.7814 |
| 0.7269 | 1.17 | 90 | 0.7729 |
| 0.7398 | 1.3 | 100 | 0.7685 |
| 0.7291 | 1.43 | 110 | 0.7637 |
| 0.7193 | 1.55 | 120 | 0.7597 |
| 0.7097 | 1.68 | 130 | 0.7571 |
| 0.7198 | 1.81 | 140 | 0.7536 |
| 0.7229 | 1.94 | 150 | 0.7491 |
| 0.6964 | 2.07 | 160 | 0.7503 |
| 0.6717 | 2.2 | 170 | 0.7484 |
| 0.6848 | 2.33 | 180 | 0.7472 |
| 0.6767 | 2.46 | 190 | 0.7471 |
| 0.6788 | 2.59 | 200 | 0.7468 |
| 0.6801 | 2.72 | 210 | 0.7463 |
| 0.6778 | 2.85 | 220 | 0.7463 |
| 0.6803 | 2.98 | 230 | 0.7463 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1