awesome-chatgpt-prompts
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1245
- Accuracy: 0.0059
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 22 | 5.1364 | 0.0059 |
| No log | 2.0 | 44 | 5.1346 | 0.0059 |
| No log | 3.0 | 66 | 5.1318 | 0.0059 |
| No log | 4.0 | 88 | 5.1274 | 0.0059 |
| No log | 5.0 | 110 | 5.1245 | 0.0059 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for Luasmontesinos/awesome-chatgpt-prompts
Base model
mrm8488/electricidad-base-discriminator