36e8bb9e-1622-4325-b6e2-235e4942fddd
This model is a fine-tuned version of EleutherAI/pythia-70m-deduped on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.5184
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: 0.000218
- train_batch_size: 4
- eval_batch_size: 4
- seed: 180
- 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 | 0.0004 | 1 | 7.3724 |
| 28.4659 | 0.0213 | 50 | 7.7077 |
| 18.6166 | 0.0425 | 100 | 11.4036 |
| 19.3249 | 0.0638 | 150 | 7.4691 |
| 13.4659 | 0.0851 | 200 | 6.2679 |
| 12.7507 | 0.1063 | 250 | 6.7429 |
| 13.146 | 0.1276 | 300 | 5.6193 |
| 12.5456 | 0.1488 | 350 | 5.8790 |
| 12.9733 | 0.1701 | 400 | 5.6000 |
| 11.396 | 0.1914 | 450 | 5.5536 |
| 13.6108 | 0.2126 | 500 | 5.5184 |
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 lesso18/36e8bb9e-1622-4325-b6e2-235e4942fddd
Base model
EleutherAI/pythia-70m-deduped