Model save
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README.md
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---
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license: apache-2.0
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base_model:
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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: denoice-finetuned-xsum
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results: []
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# denoice-finetuned-xsum
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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## Model description
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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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### 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 | 76 | 0.7604 | 75.9742 | 61.5113 | 75.8301 | 75.8438 | 17.4817 |
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| No log | 2.0 | 152 | 0.7574 | 75.9172 | 61.56 | 75.7901 | 75.8489 | 17.4817 |
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| No log | 3.0 | 228 | 0.7568 | 76.382 | 61.5593 | 76.1883 | 76.2735 | 17.4791 |
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| No log | 4.0 | 304 | 0.7565 | 76.3074 | 61.8211 | 76.1848 | 76.2148 | 17.4843 |
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| No log | 5.0 | 380 | 0.7541 | 76.26 | 61.8085 | 76.1635 | 76.1928 | 17.4843 |
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### Framework versions
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---
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license: apache-2.0
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base_model: t5-small
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tags:
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- generated_from_trainer
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model-index:
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- name: denoice-finetuned-xsum
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results: []
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# denoice-finetuned-xsum
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0119
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- eval_rouge1: 95.4063
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- eval_rouge2: 71.6891
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- eval_rougeL: 95.3513
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- eval_rougeLsum: 95.339
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- eval_gen_len: 4.1435
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- eval_runtime: 0.5683
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- eval_samples_per_second: 784.751
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- eval_steps_per_second: 1.76
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- epoch: 23.0
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- step: 2047
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## Model description
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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: 100
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### Framework versions
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model.safetensors
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size 242041896
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