End of training
Browse files- README.md +4 -2
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +8 -0
- trainer_state.json +1692 -0
README.md
CHANGED
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@@ -2,6 +2,8 @@
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base_model: learn3r/longt5_xl_gov_bp_15
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tags:
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- generated_from_trainer
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model-index:
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- name: longt5_xl_gov_bp_20
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results: []
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@@ -12,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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# longt5_xl_gov_bp_20
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-
This model is a fine-tuned version of [learn3r/longt5_xl_gov_bp_15](https://huggingface.co/learn3r/longt5_xl_gov_bp_15) on
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It achieves the following results on the evaluation set:
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-
- Loss: 1.
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## Model description
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base_model: learn3r/longt5_xl_gov_bp_15
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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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model-index:
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- name: longt5_xl_gov_bp_20
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results: []
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# longt5_xl_gov_bp_20
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+
This model is a fine-tuned version of [learn3r/longt5_xl_gov_bp_15](https://huggingface.co/learn3r/longt5_xl_gov_bp_15) 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: 1.3082
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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_loss": 1.3082436323165894,
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"eval_runtime": 149.6782,
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"eval_samples": 972,
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+
"eval_samples_per_second": 6.494,
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"eval_steps_per_second": 3.247,
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"train_loss": 1.0100317417698748,
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"train_runtime": 34968.4642,
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"train_samples": 17457,
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"train_samples_per_second": 1.997,
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"train_steps_per_second": 0.016
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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_loss": 1.3082436323165894,
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+
"eval_runtime": 149.6782,
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+
"eval_samples": 972,
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"eval_samples_per_second": 6.494,
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"eval_steps_per_second": 3.247
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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": 1.0100317417698748,
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"train_runtime": 34968.4642,
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+
"train_samples": 17457,
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"train_samples_per_second": 1.997,
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"train_steps_per_second": 0.016
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}
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trainer_state.json
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