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gptneo-txt2ARXMLv1.1
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: 0.3422
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: 0.0002
- 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: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8106 | 0.99 | 45 | 0.8572 |
| 0.823 | 1.98 | 90 | 0.7944 |
| 0.783 | 3.0 | 136 | 0.7406 |
| 0.6243 | 3.99 | 181 | 0.6961 |
| 0.6158 | 4.98 | 226 | 0.6422 |
| 0.6009 | 5.99 | 272 | 0.5747 |
| 0.4856 | 6.99 | 317 | 0.5171 |
| 0.4512 | 8.0 | 363 | 0.4585 |
| 0.3926 | 8.99 | 408 | 0.3999 |
| 0.2923 | 9.92 | 450 | 0.3422 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
