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 +2133 -0
README.md
CHANGED
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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_memsum_bp_20
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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_memsum_bp_20
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This model
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It achieves the following results on the evaluation set:
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- Loss:
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- Rouge1:
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- Rouge2:
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- Rougel: 17.
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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: /exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_15/checkpoint-1360
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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_bp
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metrics:
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- rouge
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model-index:
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- name: longt5_xl_gov_memsum_bp_20
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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_bp
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type: learn3r/gov_report_memsum_bp
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metrics:
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- name: Rouge1
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type: rouge
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value: 42.5601
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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_memsum_bp_20
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This model is a fine-tuned version of [/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_15/checkpoint-1360](https://huggingface.co//exports/eddie/scratch/s1970716/models/summarization/longt5_xl_gov_memsum_bp_15/checkpoint-1360) on the learn3r/gov_report_memsum_bp dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6259
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- Rouge1: 42.5601
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- Rouge2: 14.1791
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- Rougel: 17.9691
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- Rougelsum: 40.487
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- Gen Len: 1510.8695
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## Model description
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all_results.json
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{
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"epoch": 4.99,
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"eval_gen_len": 1510.8694758478932,
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"eval_loss": 3.6259207725524902,
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"eval_rouge1": 42.5601,
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"eval_rouge2": 14.1791,
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"eval_rougeL": 17.9691,
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"eval_rougeLsum": 40.487,
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"eval_runtime": 18932.6952,
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"eval_samples": 973,
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"eval_samples_per_second": 0.051,
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"eval_steps_per_second": 0.006,
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"train_loss": 0.10004215405925232,
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"train_runtime": 141879.0284,
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"train_samples": 17457,
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"train_samples_per_second": 0.615,
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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": 4.99,
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"eval_gen_len": 1510.8694758478932,
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"eval_loss": 3.6259207725524902,
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"eval_rouge1": 42.5601,
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"eval_rouge2": 14.1791,
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"eval_rougeL": 17.9691,
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"eval_rougeLsum": 40.487,
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"eval_runtime": 18932.6952,
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"eval_samples": 973,
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"eval_samples_per_second": 0.051,
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"eval_steps_per_second": 0.006
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}
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train_results.json
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{
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"epoch": 4.99,
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"train_loss": 0.10004215405925232,
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"train_runtime": 141879.0284,
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"train_samples": 17457,
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"train_samples_per_second": 0.615,
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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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