End of training
Browse files- README.md +24 -2
- adapter_model.safetensors +1 -1
- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +5 -5
- trainer_state.json +252 -12
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 0
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### Training results
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3584
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## Model description
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1000.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.3349 | 62.5 | 500 | 0.2107 |
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| 0.1147 | 125.0 | 1000 | 0.2410 |
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| 0.071 | 187.5 | 1500 | 0.2687 |
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| 0.0502 | 250.0 | 2000 | 0.2901 |
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| 0.0373 | 312.5 | 2500 | 0.3033 |
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| 0.0301 | 375.0 | 3000 | 0.3141 |
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| 0.025 | 437.5 | 3500 | 0.3235 |
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| 0.0212 | 500.0 | 4000 | 0.3312 |
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| 0.0187 | 562.5 | 4500 | 0.3404 |
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| 0.017 | 625.0 | 5000 | 0.3371 |
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| 0.0148 | 687.5 | 5500 | 0.3466 |
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| 0.0139 | 750.0 | 6000 | 0.3480 |
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| 0.0124 | 812.5 | 6500 | 0.3552 |
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| 0.0118 | 875.0 | 7000 | 0.3594 |
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| 0.0112 | 937.5 | 7500 | 0.3581 |
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| 0.0106 | 1000.0 | 8000 | 0.3584 |
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### Framework versions
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adapter_model.safetensors
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all_results.json
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eval_results.json
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train_results.json
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trainer_state.json
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