End of training
Browse files- README.md +21 -8
- all_results.json +18 -0
- eval_results.json +13 -0
- train_results.json +8 -0
- trainer_state.json +896 -0
README.md
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---
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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: longt5_xl_gov_report_bp_10_continue
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-
results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# longt5_xl_gov_report_bp_10_continue
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This model
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Rouge1:
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- Rouge2:
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- Rougel: 41.
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- Rougelsum:
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- Gen Len:
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## Model description
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---
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+
base_model: /home/co-ou1/rds/hpc-work/transformers/examples/pytorch/summarization/longt5_xl_gov_report_bp_10/checkpoint-477
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tags:
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- generated_from_trainer
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datasets:
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- learn3r/gov_report_memsum_oracle
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metrics:
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- rouge
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model-index:
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- name: longt5_xl_gov_report_bp_10_continue
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results:
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- task:
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name: Summarization
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type: summarization
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dataset:
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name: learn3r/gov_report_memsum_oracle
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type: learn3r/gov_report_memsum_oracle
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metrics:
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- name: Rouge1
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type: rouge
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value: 71.9439
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# longt5_xl_gov_report_bp_10_continue
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This model is a fine-tuned version of [/home/co-ou1/rds/hpc-work/transformers/examples/pytorch/summarization/longt5_xl_gov_report_bp_10/checkpoint-477](https://huggingface.co//home/co-ou1/rds/hpc-work/transformers/examples/pytorch/summarization/longt5_xl_gov_report_bp_10/checkpoint-477) on the learn3r/gov_report_memsum_oracle dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4878
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- Rouge1: 71.9439
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- Rouge2: 43.7031
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- Rougel: 41.8301
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- Rougelsum: 69.1853
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- Gen Len: 833.0319
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## Model description
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all_results.json
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{
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"epoch": 3.99,
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"eval_gen_len": 833.0318930041152,
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"eval_loss": 1.487816572189331,
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"eval_rouge1": 71.9439,
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"eval_rouge2": 43.7031,
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"eval_rougeL": 41.8301,
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"eval_rougeLsum": 69.1853,
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"eval_runtime": 5147.063,
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"eval_samples": 972,
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"eval_samples_per_second": 0.189,
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"eval_steps_per_second": 0.024,
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"train_loss": 0.47826748297495003,
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"train_runtime": 56154.1614,
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"train_samples": 17457,
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"train_samples_per_second": 1.244,
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"train_steps_per_second": 0.005
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}
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eval_results.json
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{
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"epoch": 3.99,
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"eval_gen_len": 833.0318930041152,
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"eval_loss": 1.487816572189331,
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"eval_rouge1": 71.9439,
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"eval_rouge2": 43.7031,
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"eval_rougeL": 41.8301,
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"eval_rougeLsum": 69.1853,
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"eval_runtime": 5147.063,
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"eval_samples": 972,
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"eval_samples_per_second": 0.189,
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"eval_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": 3.99,
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"train_loss": 0.47826748297495003,
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"train_runtime": 56154.1614,
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"train_samples": 17457,
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"train_samples_per_second": 1.244,
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"train_steps_per_second": 0.005
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}
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trainer_state.json
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