4b891173-03bc-47ed-947a-b5a436daeedd
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: 2.8706
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: 0.000202
- train_batch_size: 4
- eval_batch_size: 4
- seed: 20
- 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 | 0.0009 | 1 | 4.0568 |
| 7.2513 | 0.0432 | 50 | 3.4255 |
| 7.5918 | 0.0864 | 100 | 3.5541 |
| 6.6976 | 0.1295 | 150 | 3.2074 |
| 6.4748 | 0.1727 | 200 | 3.1944 |
| 6.4753 | 0.2159 | 250 | 3.3251 |
| 6.0805 | 0.2591 | 300 | 3.0865 |
| 6.3402 | 0.3022 | 350 | 3.0198 |
| 6.0123 | 0.3454 | 400 | 2.9118 |
| 5.6217 | 0.3886 | 450 | 2.8824 |
| 6.1575 | 0.4318 | 500 | 2.8706 |
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 lesso02/4b891173-03bc-47ed-947a-b5a436daeedd
Base model
EleutherAI/pythia-410m-deduped