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 +1128 -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_sfd_bp_40
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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_sfd_bp_40
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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: 17.
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- Rougel:
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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_sfd_bp_20/checkpoint-280
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tags:
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- generated_from_trainer
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datasets:
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- learn3r/summ_screen_fd_bp
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metrics:
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- rouge
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model-index:
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- name: longt5_xl_sfd_bp_40
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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/summ_screen_fd_bp
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type: learn3r/summ_screen_fd_bp
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metrics:
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- name: Rouge1
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type: rouge
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value: 40.6965
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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_sfd_bp_40
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This model is a fine-tuned version of [/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_sfd_bp_20/checkpoint-280](https://huggingface.co//exports/eddie/scratch/s1970716/models/summarization/longt5_xl_sfd_bp_20/checkpoint-280) on the learn3r/summ_screen_fd_bp dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8277
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- Rouge1: 40.6965
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- Rouge2: 17.2793
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- Rougel: 27.8429
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- Rougelsum: 39.0726
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- Gen Len: 294.0890
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## Model description
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all_results.json
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{
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"epoch": 19.48,
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"eval_gen_len": 294.08902077151333,
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"eval_loss": 2.8276827335357666,
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"eval_rouge1": 40.6965,
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"eval_rouge2": 17.2793,
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"eval_rougeL": 27.8429,
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"eval_rougeLsum": 39.0726,
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"eval_runtime": 1755.6328,
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"eval_samples": 337,
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"eval_samples_per_second": 0.192,
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"eval_steps_per_second": 0.024,
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"train_loss": 0.049460863295410364,
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"train_runtime": 102546.6903,
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"train_samples": 3673,
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"train_samples_per_second": 0.716,
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"train_steps_per_second": 0.003
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}
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eval_results.json
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{
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"epoch": 19.48,
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"eval_gen_len": 294.08902077151333,
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"eval_loss": 2.8276827335357666,
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"eval_rouge1": 40.6965,
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"eval_rouge2": 17.2793,
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"eval_rougeL": 27.8429,
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"eval_rougeLsum": 39.0726,
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"eval_runtime": 1755.6328,
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"eval_samples": 337,
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"eval_samples_per_second": 0.192,
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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": 19.48,
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"train_loss": 0.049460863295410364,
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"train_runtime": 102546.6903,
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"train_samples": 3673,
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"train_samples_per_second": 0.716,
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"train_steps_per_second": 0.003
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}
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trainer_state.json
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