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End of training
Browse files- README.md +11 -18
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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base_model: google/flan-t5-base
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: my_awesome_billsum_model
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results: []
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@@ -17,12 +15,17 @@ 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-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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| No log | 1.0 | 248 | 1.8311 | 0.1947 | 0.103 | 0.168 | 0.1682 | 19.0 |
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| No log | 2.0 | 496 | 1.7684 | 0.1951 | 0.1024 | 0.1672 | 0.1674 | 19.0 |
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| 2.077 | 3.0 | 744 | 1.7462 | 0.1941 | 0.1021 | 0.1661 | 0.1663 | 19.0 |
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| 2.077 | 4.0 | 992 | 1.7359 | 0.195 | 0.1025 | 0.1671 | 0.1671 | 19.0 |
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### Framework versions
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- Transformers 4.41.2
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base_model: google/flan-t5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: my_awesome_billsum_model
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results: []
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.7011
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- eval_rouge1: 0.1954
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- eval_rouge2: 0.1007
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- eval_rougeL: 0.166
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- eval_rougeLsum: 0.1661
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- eval_gen_len: 19.0
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- eval_runtime: 53.4628
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- eval_samples_per_second: 4.639
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- eval_steps_per_second: 1.16
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- epoch: 1.0
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- step: 248
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 4
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### Framework versions
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- Transformers 4.41.2
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model.safetensors
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training_args.bin
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