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 +578 -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_summ_screen_bp_10
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-
results:
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---
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| 12 |
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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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@@ -15,14 +27,14 @@ should probably proofread and complete it, then remove this comment. -->
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# longt5_xl_summ_screen_bp_10
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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: 1.
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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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- rouge
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model-index:
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| 11 |
- name: longt5_xl_summ_screen_bp_10
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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 |
+
value: 22.9554
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---
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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_summ_screen_bp_10
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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: 1.3323
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+
- Rouge1: 22.9554
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+
- Rouge2: 6.4509
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- Rougel: 19.7437
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- Rougelsum: 20.923
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- Gen Len: 497.2456
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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": 9.74,
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"eval_gen_len": 497.2455621301775,
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+
"eval_loss": 1.3323031663894653,
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+
"eval_rouge1": 22.9554,
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"eval_rouge2": 6.4509,
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"eval_rougeL": 19.7437,
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"eval_rougeLsum": 20.923,
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"eval_runtime": 1805.1059,
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"eval_samples": 338,
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"eval_samples_per_second": 0.187,
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"eval_steps_per_second": 0.024,
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"train_loss": 1.2823251613548823,
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"train_runtime": 53785.754,
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+
"train_samples": 3673,
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"train_samples_per_second": 0.683,
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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": 9.74,
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"eval_gen_len": 497.2455621301775,
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"eval_loss": 1.3323031663894653,
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"eval_rouge1": 22.9554,
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"eval_rouge2": 6.4509,
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"eval_rougeL": 19.7437,
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"eval_rougeLsum": 20.923,
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"eval_runtime": 1805.1059,
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"eval_samples": 338,
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"eval_samples_per_second": 0.187,
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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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@@ -0,0 +1,8 @@
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{
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"epoch": 9.74,
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"train_loss": 1.2823251613548823,
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"train_runtime": 53785.754,
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"train_samples": 3673,
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"train_samples_per_second": 0.683,
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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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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 1.3323031663894653,
|
| 3 |
+
"best_model_checkpoint": "longt5_xl_summ_screen_bp_10/checkpoint-57",
|
| 4 |
+
"epoch": 9.73913043478261,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 140,
|
| 7 |
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