9acc971e-661b-4ca5-9cf6-e34f7feb5f4a
This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9610
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: 0.000214
- train_batch_size: 4
- eval_batch_size: 4
- seed: 140
- 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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0001 | 1 | 4.1637 |
| 5.6835 | 0.0042 | 50 | 2.3631 |
| 5.3968 | 0.0084 | 100 | 2.2632 |
| 5.2146 | 0.0127 | 150 | 2.1901 |
| 5.2724 | 0.0169 | 200 | 2.1400 |
| 4.9923 | 0.0211 | 250 | 2.1044 |
| 4.4694 | 0.0253 | 300 | 2.0497 |
| 4.92 | 0.0295 | 350 | 2.0047 |
| 4.7397 | 0.0338 | 400 | 1.9765 |
| 4.8422 | 0.0380 | 450 | 1.9575 |
| 4.5776 | 0.0422 | 500 | 1.9610 |
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
bigscience/bloom-560m