9824e25a-ca6e-4fba-809b-ffe053f5d575
This model is a fine-tuned version of facebook/opt-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.3137
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: 0.00021
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 238
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0042 | 1 | 3.4560 |
| 6.9063 | 0.2105 | 50 | 3.3876 |
| 6.7727 | 0.4211 | 100 | 3.3468 |
| 6.7488 | 0.6316 | 150 | 3.3274 |
| 6.6535 | 0.8421 | 200 | 3.3137 |
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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Model tree for lesso10/9824e25a-ca6e-4fba-809b-ffe053f5d575
Base model
facebook/opt-125m