End of training
Browse files- README.md +6 -9
- adapter_config.json +2 -2
- adapter_model.bin +2 -2
- training_args.bin +1 -1
README.md
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@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size:
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- eval_batch_size:
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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 | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.
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| 0.
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| 0.2004 | 3.0 | 1290 | 0.1255 |
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| 0.2039 | 4.0 | 1720 | 0.1252 |
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| 0.2 | 5.0 | 2150 | 0.1242 |
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### Framework versions
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1216
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1888 | 1.0 | 215 | 0.1245 |
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| 0.1657 | 2.0 | 430 | 0.1216 |
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### Framework versions
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adapter_config.json
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"auto_mapping": null,
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"base_model_name_or_path": "google/flan-t5-large",
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"encoder_dropout": 0.0,
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"encoder_hidden_size":
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"encoder_num_layers": 2,
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"encoder_reparameterization_type": "MLP",
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"inference_mode": true,
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"num_attention_heads": 16,
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"num_layers": 24,
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"num_transformer_submodules": 2,
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"num_virtual_tokens":
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"peft_type": "P_TUNING",
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"revision": null,
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"task_type": "SEQ_2_SEQ_LM",
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"auto_mapping": null,
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"base_model_name_or_path": "google/flan-t5-large",
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"encoder_dropout": 0.0,
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"encoder_hidden_size": 1024,
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"encoder_num_layers": 2,
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"encoder_reparameterization_type": "MLP",
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"inference_mode": true,
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"num_attention_heads": 16,
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"num_layers": 24,
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"num_transformer_submodules": 2,
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"num_virtual_tokens": 32,
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"peft_type": "P_TUNING",
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"revision": null,
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"task_type": "SEQ_2_SEQ_LM",
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adapter_model.bin
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training_args.bin
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