Copilot_for_poors
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8084
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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 65 | 2.9425 |
| No log | 2.0 | 130 | 2.5889 |
| No log | 3.0 | 195 | 2.3886 |
| No log | 4.0 | 260 | 2.2679 |
| No log | 5.0 | 325 | 2.1732 |
| No log | 6.0 | 390 | 2.0942 |
| No log | 7.0 | 455 | 2.0343 |
| 2.7389 | 8.0 | 520 | 1.9956 |
| 2.7389 | 9.0 | 585 | 1.9557 |
| 2.7389 | 10.0 | 650 | 1.9284 |
| 2.7389 | 11.0 | 715 | 1.9024 |
| 2.7389 | 12.0 | 780 | 1.8811 |
| 2.7389 | 13.0 | 845 | 1.8612 |
| 2.7389 | 14.0 | 910 | 1.8443 |
| 2.7389 | 15.0 | 975 | 1.8331 |
| 2.1064 | 16.0 | 1040 | 1.8228 |
| 2.1064 | 17.0 | 1105 | 1.8178 |
| 2.1064 | 18.0 | 1170 | 1.8130 |
| 2.1064 | 19.0 | 1235 | 1.8093 |
| 2.1064 | 20.0 | 1300 | 1.8084 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
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