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292 MB
10 files
Updated 1 day ago
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| Name | Size | Uploaded | Xet hash |
|---|---|---|---|
| .gitattributes | 1.52 kB xet | 818ba6de | |
| README.md | 1.64 kB xet | 8e119d74 | |
| adapter_config.json | 1.14 kB xet | 3bec3d53 | |
| adapter_model.safetensors | 23.6 MB xet | 7ca8e59c | |
| chat_template.jinja | 2.63 kB xet | b34e371d | |
| config.json | 1.09 kB xet | 828be266 | |
| model.safetensors | 268 MB xet | 23ae0458 | |
| tokenizer.json | 711 kB xet | 0480d2cd | |
| tokenizer_config.json | 366 Bytes xet | 0a1f2ddf | |
| training_args.bin | 5.2 kB xet | da39485a |
my_awesome_model
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1030
- Accuracy: 0.6807
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 184 | 1.1920 | 0.6454 |
| No log | 2.0 | 368 | 1.1030 | 0.6807 |
Framework versions
- Transformers 5.18.0
- Pytorch 2.14.1+cpu
- Datasets 5.1.0
- Tokenizers 0.23.2
- Total size
- 292 MB
- Files
- 10
- Last updated
- Nov 5
- Pre-warmed CDN
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