my_awesome_eli5_clm-model
This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.5560
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 15 | 5.3867 |
| No log | 2.0 | 30 | 5.3167 |
| No log | 3.0 | 45 | 5.3008 |
| No log | 4.0 | 60 | 5.3134 |
| No log | 5.0 | 75 | 5.3731 |
| No log | 6.0 | 90 | 5.4219 |
| No log | 7.0 | 105 | 5.4693 |
| No log | 8.0 | 120 | 5.5127 |
| No log | 9.0 | 135 | 5.5459 |
| No log | 10.0 | 150 | 5.5560 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for FrancisYang77/my_awesome_eli5_clm-model
Base model
EleutherAI/gpt-neo-125m