End of training
Browse files- README.md +7 -8
- adapter_config.json +21 -0
- adapter_model.bin +3 -0
- training_args.bin +1 -1
README.md
CHANGED
@@ -42,17 +42,16 @@ The following hyperparameters were used during training:
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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:
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### Training results
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| Training Loss | Epoch | Step | Train Loss | Validation Loss | Losses
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| 4.9929 | 5.0 | 495 | 0.7304 | 4.0822 | [0.8, 0.8, 0.8, 1, 0.0, 0.6000000000000001, 0.8, 0.8, 0.6000000000000001, 0.8, 1, 1, 1.0, 0.8, 0.6000000000000001, 0.6000000000000001, 0.4, 1, 1, 0.8, 0.8, 0.8, 0.8, 0.8, 0.6000000000000001, 0.8, 0.8, 0.8, 0.2, 0.8, 0.8, 0.8, 0.8, 0.4, 1, 1, 0.8, 0.8, 0.2, 0.8, 0.8, 0.4, 0.8, 1, 0.8, 1, 1, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 1, 0.8, 0.8, 0.4, 1, 0.4, 0.8, 0.2, 0.8, 1, 0.8, 0.8, 0.8, 1, 0.8, 0.6000000000000001, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 1, 0.4, 0.8, 0.8, 0.8, 0.2, 1, 0.8, 1, 0.8, 0.4, 0.8, 0.0, 0.8, 0.8, 0.0, 0.8, 1, 0.8, 0.6000000000000001, 0.8, 0.8, 0.0, 1, 1, 0.8, 0.8, 0.8, 1, 1, 0.8, 0.8, 0.8, 1, 0.8, 0.4, 1, 1.0, 1, 0.8, 0.8, 0.6000000000000001, 0.4, 1, 1, 0.6000000000000001, 0.0, 0.0, 0.8, 1, 0.2, 0.8, 0.6000000000000001, 0.8, 1, 0.8, 0.8, 1, 0.8, 1.0, 0.4, 0.8, 0.8, 0.8, 0.8, 0.8, 1.0, 0.8, 0.8, 0.8, 1, 1, 1, 1.0, 0.8, 0.8, 0.8, 0.8, 1, 0.8, 0.6000000000000001, 0.8, 0.8, 0.4, 1, 1.0, 0.8, 0.8, 0.0, 0.4, 1, 1, 1, 1, 0.8, 0.6000000000000001, 0.8, 0.6000000000000001, 0.8, 0.8, 0.0, 0.8, 0.6000000000000001, 0.8, 0.4, 0.8, 0.8, 1, 0.0, 0.6000000000000001, 0.4, 0.2, 1, 0.8, 0.8, 0.8, 1, 0.8, 0.8, 0.8, 0.8, 0.8, 1, 0.4, 0.4, 0.4, 0.8, 0.8, 0.8, 0.8, 0.6000000000000001, 0.8, 0.2, 0.4, 0.8, 0.6000000000000001, 0.6000000000000001, 0.0, 0.8, 0.8, 0.8, 0.8, 1, 0.4, 1, 0.8, 0.8, 1, 1, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.0, 0.8, 0.6000000000000001, 1, 1, 0.8, 1, 0.6000000000000001, 1, 0.8, 1, 0.8, 0.8, 0.8, 1.0, 0.8, 1, 0.6000000000000001, 0.8, 0.8, 0.8, 0.8, 0.8, 0.4, 0.8, 0.8, 0.6000000000000001, 0.8, 0.2, 0.8, 1, 0.6000000000000001, 0.8, 0.0, 0.8, 0.8, 0.8, 0.8, 0.6000000000000001, 1, 1, 1, 0.8, 0.6000000000000001, 1, 0.8, 0.6000000000000001, 1, 0.0, 1, 0.8, 0.0, 0.6000000000000001, 0.8, 1.0, 0.6000000000000001, 0.8, 0.8, 0.0, 0.8, 0.8, 1, 0.8, 0.8, 0.8, 0.0, 1, 0.8, 0.4, 0.8, 0.6000000000000001, 0.8, 0.8, 0.0, 0.8, 1, 0.8, 0.6000000000000001, 0.6000000000000001, 1, 1, 0.0, 0.8, 1, 0.8, 0.0, 0.2, 0.8, 0.4, 0.8, 1, 1, 1, 0.6000000000000001, 0.8, 0.8, 0.8, 0.8, 0.0, 1, 1.0, 0.0, 0.0, 0.8, 0.8, 0.2, 0.0, 0.2, 0.6000000000000001, 1, 1, 0.8, 0.8, 1, 1.0, 0.0, 0.8, 1.0, 0.8, 0.8, 1, 0.8, 0.4, 0.6000000000000001, 0.4, 1] |
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### Framework versions
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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: 200
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### Training results
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| Training Loss | Epoch | Step | Train Loss | Validation Loss | Losses |
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|:-------------:|:-----:|:----:|:----------:|:---------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
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| 405015552.0 | 1.0 | 99 | 0.9348 | 389655456.0 | [1, 1, 1, 1, 1, 1, 1, 1, 0.2, 1, 1, 1, 1.0, 1, 1, 0.8, 1, 1.0, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 0.8, 0.4, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 0.8, 1, 1, 1, 0.8, 1, 1, 1.0, 1, 0.6000000000000001, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 0.6000000000000001, 1.0, 1, 1, 0.6000000000000001, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 0.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 0.6000000000000001, 0.8, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1.0, 1, 0.2, 1, 1.0, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 0.8, 1, 1, 0.8, 1, 0.8, 0.8, 1, 1, 1, 0.8, 1.0, 0.4, 0.4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 0.2, 1, 1, 1, 1, 1, 0.4, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.4, 1, 1, 1, 1, 0.8, 1, 1.0, 1, 1, 1, 1, 1, 1, 0.4, 0.2, 1, 0.6000000000000001, 1, 1, 0.8, 1, 0.4, 1, 1, 1, 1, 0.2, 1, 1.0, 0.2, 0.8, 1, 0.4, 1, 1, 1, 1, 1, 0.8, 0.6000000000000001, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 0.6000000000000001, 1, 0.4, 1, 1, 1, 0.6000000000000001, 1, 1, 0.8, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1.0, 0.8, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1.0, 0.6000000000000001, 1, 1, 0.6000000000000001, 1, 1, 1] |
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| 414025804.8 | 2.0 | 198 | 0.9816 | 389655456.0 | [1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1.0, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1.0, 1.0, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1.0, 1, 1, 1, 1, 0.2, 1.0, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 0.4, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 0.8, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.4, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1.0, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
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| 408233932.8 | 3.0 | 297 | 0.9811 | 389655456.0 | [1.0, 1, 1, 1, 1, 1, 1, 1, 0.2, 1, 0.4, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 0.2, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1.0, 1.0, 1, 1, 1, 1, 1, 0.4, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1.0, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1.0, 1, 1.0, 1, 1, 1, 1.0, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1.0, 0.2, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 0.8, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.2, 1, 1, 1, 0.8, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1.0, 1, 1, 1, 1, 1.0, 1, 1, 1, 0.4, 1.0, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1.0, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1] |
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| 421449804.8 | 4.0 | 396 | 0.9777 | 389655456.0 | [0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 0.4, 1, 1, 1, 0.2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 0.4, 1, 1, 1, 1, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.4, 0.2, 1, 0.8, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0.6000000000000001, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 0.8, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1.0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1] |
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### Framework versions
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "google/t5-v1_1-large",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 8,
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"revision": null,
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"target_modules": [
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"q",
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"v"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b6a0f6e1b56cfadeb22311733fcf25505d83f22d24f03f1fade1650a6ef038d
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size 4825098
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training_args.bin
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4728
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version https://git-lfs.github.com/spec/v1
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oid sha256:777ee76cd889d4b2b6ad477b7dd72715a5fe87d038fdfadc1f190fd1800e0880
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size 4728
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