5acece74-7232-4931-870e-394b8c6a7dd5
This model is a fine-tuned version of EleutherAI/pythia-410m-deduped on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.9652
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: 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: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.0004 | 1 | 2.1196 |
| 5.3562 | 0.0186 | 50 | 2.4910 |
| 4.6049 | 0.0373 | 100 | 2.2087 |
| 4.446 | 0.0559 | 150 | 2.3152 |
| 4.3796 | 0.0745 | 200 | 2.1957 |
| 4.298 | 0.0932 | 250 | 2.2860 |
| 4.3589 | 0.1118 | 300 | 2.1621 |
| 4.4404 | 0.1305 | 350 | 2.0913 |
| 4.2475 | 0.1491 | 400 | 2.0065 |
| 4.1359 | 0.1677 | 450 | 1.9742 |
| 4.1168 | 0.1864 | 500 | 1.9652 |
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 lesso14/5acece74-7232-4931-870e-394b8c6a7dd5
Base model
EleutherAI/pythia-410m-deduped