hs768-nh8-nl6_custom
This model is a fine-tuned version of on the massive dataset. It achieves the following results on the evaluation set:
- Loss: 0.8447
- Accuracy: 0.8107
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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
2.2446 | 1.39 | 500 | 1.0132 | 0.7545 |
0.7535 | 2.78 | 1000 | 0.8275 | 0.7978 |
0.4061 | 4.17 | 1500 | 0.8179 | 0.8185 |
0.2523 | 5.56 | 2000 | 0.8394 | 0.8347 |
0.1795 | 6.94 | 2500 | 0.9036 | 0.8392 |
0.12 | 8.33 | 3000 | 1.0310 | 0.8337 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.14.0
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