End of training
Browse files- README.md +20 -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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@@ -3,11 +3,23 @@ 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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metrics:
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- rouge
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model-index:
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- name: longt5_xl_sfd_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_sfd_bp_20
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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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| 19 |
It achieves the following results on the evaluation set:
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| 20 |
-
- Loss:
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-
- Rouge1:
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-
- Rouge2:
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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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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/summ_screen_fd_bp
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metrics:
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| 9 |
- rouge
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model-index:
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| 11 |
- name: longt5_xl_sfd_bp_20
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+
results:
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| 13 |
+
- 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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| 22 |
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value: 22.11
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| 23 |
---
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| 24 |
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| 25 |
<!-- 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_20
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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/summ_screen_fd_bp dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 1.5032
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+
- Rouge1: 22.11
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- Rouge2: 7.544
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- Rougel: 19.7035
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- Rougelsum: 20.2813
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- Gen Len: 497.8783
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## Model description
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all_results.json
ADDED
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@@ -0,0 +1,18 @@
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{
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"epoch": 19.48,
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"eval_gen_len": 497.8783382789318,
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+
"eval_loss": 1.503156304359436,
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+
"eval_rouge1": 22.11,
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"eval_rouge2": 7.544,
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"eval_rougeL": 19.7035,
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"eval_rougeLsum": 20.2813,
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"eval_runtime": 1794.2024,
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"eval_samples": 337,
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"eval_samples_per_second": 0.188,
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"eval_steps_per_second": 0.024,
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"train_loss": 0.722327525381531,
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"train_runtime": 104579.6075,
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"train_samples": 3673,
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"train_samples_per_second": 0.702,
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"train_steps_per_second": 0.003
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}
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eval_results.json
ADDED
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@@ -0,0 +1,13 @@
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{
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"epoch": 19.48,
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"eval_gen_len": 497.8783382789318,
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"eval_loss": 1.503156304359436,
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"eval_rouge1": 22.11,
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"eval_rouge2": 7.544,
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"eval_rougeL": 19.7035,
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"eval_rougeLsum": 20.2813,
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"eval_runtime": 1794.2024,
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"eval_samples": 337,
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"eval_samples_per_second": 0.188,
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"eval_steps_per_second": 0.024
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}
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train_results.json
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 19.48,
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"train_loss": 0.722327525381531,
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"train_runtime": 104579.6075,
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"train_samples": 3673,
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"train_samples_per_second": 0.702,
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"train_steps_per_second": 0.003
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}
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trainer_state.json
ADDED
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