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 +2148 -0
README.md
CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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base_model: google/long-t5-tglobal-xl
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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_govreport_4096_memsum_e10
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results: []
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@@ -13,9 +15,9 @@ should probably proofread and complete it, then remove this comment. -->
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# longt5_xl_govreport_4096_memsum_e10
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-
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) 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: google/long-t5-tglobal-xl
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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_govreport_4096_memsum_e10
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results: []
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# longt5_xl_govreport_4096_memsum_e10
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+
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) 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: 1.2380
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## Model description
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all_results.json
ADDED
@@ -0,0 +1,13 @@
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{
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"epoch": 9.97,
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"eval_loss": 1.2379964590072632,
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"eval_runtime": 153.0102,
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"eval_samples": 972,
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"eval_samples_per_second": 6.353,
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"eval_steps_per_second": 0.797,
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"train_loss": 0.9514477711390047,
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"train_runtime": 93373.8295,
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"train_samples": 17457,
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"train_samples_per_second": 1.87,
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"train_steps_per_second": 0.007
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}
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eval_results.json
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{
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"epoch": 9.97,
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"eval_loss": 1.2379964590072632,
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"eval_runtime": 153.0102,
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"eval_samples": 972,
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"eval_samples_per_second": 6.353,
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"eval_steps_per_second": 0.797
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}
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train_results.json
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@@ -0,0 +1,8 @@
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{
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"epoch": 9.97,
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"train_loss": 0.9514477711390047,
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"train_runtime": 93373.8295,
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"train_samples": 17457,
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"train_samples_per_second": 1.87,
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"train_steps_per_second": 0.007
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}
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trainer_state.json
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