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gptNeo-125M-txt2ARXMLv1
This model is a fine-tuned version of EleutherAI/gpt-neo-125m on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0324
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: 0.01
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 9.8942 | 0.89 | 4 | 9.3606 |
| 7.7044 | 2.0 | 9 | 7.4480 |
| 5.9279 | 2.89 | 13 | 5.4995 |
| 3.7262 | 4.0 | 18 | 3.5375 |
| 2.5738 | 4.89 | 22 | 2.6147 |
| 1.7796 | 6.0 | 27 | 1.8890 |
| 1.4176 | 6.89 | 31 | 1.5128 |
| 1.0915 | 8.0 | 36 | 1.2116 |
| 0.9133 | 8.89 | 40 | 1.0324 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
