cc4a3486-a710-49ea-8182-a30d05a62e39
This model is a fine-tuned version of facebook/opt-1.3b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0536
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: 0.000201
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 50
- training_steps: 400
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0028 | 1 | 1.0241 |
| 0.52 | 0.1379 | 50 | 0.1036 |
| 0.5061 | 0.2759 | 100 | 0.1104 |
| 0.1155 | 0.4138 | 150 | 0.0543 |
| 0.3057 | 0.5517 | 200 | 0.0534 |
| 0.0765 | 0.6897 | 250 | 0.0592 |
| 0.3329 | 0.8276 | 300 | 0.0546 |
| 0.0479 | 0.9655 | 350 | 0.0536 |
Framework versions
- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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Base model
facebook/opt-1.3b