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gptNeo-125M-txt2ARXMLv1.0
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: 0.2430
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: 0.002
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- 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 |
|---|---|---|---|
| 3.4992 | 1.0 | 36 | 3.1323 |
| 1.0858 | 2.0 | 72 | 1.0802 |
| 0.6777 | 3.0 | 108 | 0.7172 |
| 0.516 | 4.0 | 144 | 0.5705 |
| 0.4551 | 5.0 | 180 | 0.5109 |
| 0.4408 | 6.0 | 216 | 0.4842 |
| 0.3326 | 7.0 | 252 | 0.4078 |
| 0.3098 | 8.0 | 288 | 0.3798 |
| 0.2041 | 9.0 | 324 | 0.2881 |
| 0.2342 | 10.0 | 360 | 0.2430 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.0
- Datasets 2.1.0
- Tokenizers 0.13.2
