End of training
Browse files- README.md +8 -6
- all_results.json +29 -0
- eval_results.json +13 -0
- generated_predictions.txt +0 -0
- predict_results.json +12 -0
- train_results.json +9 -0
- trainer_state.json +130 -0
README.md
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---
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license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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@@ -17,12 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) 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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- Rouge1: 72.
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- Rouge2: 65.
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- Rougel: 69.
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- Rougelsum: 71.
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- Gen Len:
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## Model description
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---
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language:
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- id
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license: apache-2.0
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base_model: LazarusNLP/IndoNanoT5-base
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tags:
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This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5316
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- Rouge1: 72.4894
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- Rouge2: 65.4392
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- Rougel: 69.5679
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- Rougelsum: 71.7185
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- Gen Len: 103.4539
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## Model description
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all_results.json
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{
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"epoch": 5.0,
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"eval_gen_len": 103.4539385847797,
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"eval_loss": 0.5315777063369751,
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"eval_rouge1": 72.4894,
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"eval_rouge2": 65.4392,
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"eval_rougeL": 69.5679,
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"eval_rougeLsum": 71.7185,
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"eval_runtime": 982.5591,
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"eval_samples": 749,
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"eval_samples_per_second": 0.762,
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"eval_steps_per_second": 0.024,
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"predict_gen_len": 102.60738968633706,
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"predict_loss": 0.5196795463562012,
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"predict_rouge1": 72.3688,
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"predict_rouge2": 65.5214,
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"predict_rougeL": 69.4706,
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"predict_rougeLsum": 71.5857,
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"predict_runtime": 4940.3619,
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"predict_samples": 3762,
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"predict_samples_per_second": 0.761,
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"predict_steps_per_second": 0.024,
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"total_flos": 4.90272982695936e+16,
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"train_loss": 0.6274513963092069,
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"train_runtime": 4828.0728,
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"train_samples": 14263,
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"train_samples_per_second": 14.771,
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"train_steps_per_second": 0.924
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_gen_len": 103.4539385847797,
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"eval_loss": 0.5315777063369751,
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"eval_rouge1": 72.4894,
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"eval_rouge2": 65.4392,
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"eval_rougeL": 69.5679,
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"eval_rougeLsum": 71.7185,
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"eval_runtime": 982.5591,
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"eval_samples": 749,
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"eval_samples_per_second": 0.762,
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"eval_steps_per_second": 0.024
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}
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generated_predictions.txt
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The diff for this file is too large to render.
See raw diff
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predict_results.json
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{
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"predict_gen_len": 102.60738968633706,
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"predict_loss": 0.5196795463562012,
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"predict_rouge1": 72.3688,
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"predict_rouge2": 65.5214,
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"predict_rougeL": 69.4706,
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"predict_rougeLsum": 71.5857,
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"predict_runtime": 4940.3619,
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"predict_samples": 3762,
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"predict_samples_per_second": 0.761,
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"predict_steps_per_second": 0.024
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}
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train_results.json
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{
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"epoch": 5.0,
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"total_flos": 4.90272982695936e+16,
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"train_loss": 0.6274513963092069,
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"train_runtime": 4828.0728,
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"train_samples": 14263,
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"train_samples_per_second": 14.771,
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"train_steps_per_second": 0.924
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}
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trainer_state.json
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