End of training
Browse files- README.md +14 -13
- 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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@@ -1,26 +1,27 @@
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| 1 |
---
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| 2 |
tags:
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- generated_from_trainer
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datasets:
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-
- scrolls
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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_20
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results:
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- task:
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name:
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-
type:
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dataset:
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-
name: scrolls
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type: scrolls
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config: summ_screen_fd
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split: validation
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args: summ_screen_fd
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metrics:
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- name: Rouge1
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type: rouge
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-
value:
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---
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| 25 |
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| 26 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -28,14 +29,14 @@ should probably proofread and complete it, then remove this comment. -->
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# longt5_xl_summ_screen_20
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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:
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-
- Rougel: 18.
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-
- Rougelsum:
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| 38 |
-
- Gen Len:
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| 40 |
## Model description
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---
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+
base_model: /exports/eddie/scratch/s1970716/models/summarization/longt5_xl_summ_screen/checkpoint-140
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tags:
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- generated_from_trainer
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datasets:
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| 6 |
+
- tau/scrolls
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| 7 |
metrics:
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| 8 |
- rouge
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| 9 |
model-index:
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| 10 |
- name: longt5_xl_summ_screen_20
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| 11 |
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: tau/scrolls summ_screen_fd
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type: tau/scrolls
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config: summ_screen_fd
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split: validation
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args: summ_screen_fd
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metrics:
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- name: Rouge1
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type: rouge
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| 24 |
+
value: 28.1708
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| 25 |
---
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| 26 |
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| 27 |
<!-- 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_20
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+
This model is a fine-tuned version of [/exports/eddie/scratch/s1970716/models/summarization/longt5_xl_summ_screen/checkpoint-140](https://huggingface.co//exports/eddie/scratch/s1970716/models/summarization/longt5_xl_summ_screen/checkpoint-140) on the tau/scrolls summ_screen_fd dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 3.1917
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+
- Rouge1: 28.1708
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+
- Rouge2: 6.6895
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- Rougel: 18.1637
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- Rougelsum: 24.3987
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- Gen Len: 96.2041
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## Model description
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all_results.json
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{
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"epoch": 9.74,
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+
"eval_gen_len": 96.20414201183432,
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+
"eval_loss": 3.1917154788970947,
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| 5 |
+
"eval_rouge1": 28.1708,
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| 6 |
+
"eval_rouge2": 6.6895,
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"eval_rougeL": 18.1637,
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"eval_rougeLsum": 24.3987,
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+
"eval_runtime": 1032.7131,
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"eval_samples": 338,
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| 11 |
+
"eval_samples_per_second": 0.327,
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"eval_steps_per_second": 0.164,
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+
"train_loss": 0.18376290196818965,
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"train_runtime": 47972.5065,
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+
"train_samples": 3673,
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+
"train_samples_per_second": 0.766,
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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": 9.74,
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+
"eval_gen_len": 96.20414201183432,
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+
"eval_loss": 3.1917154788970947,
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+
"eval_rouge1": 28.1708,
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+
"eval_rouge2": 6.6895,
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+
"eval_rougeL": 18.1637,
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+
"eval_rougeLsum": 24.3987,
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+
"eval_runtime": 1032.7131,
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+
"eval_samples": 338,
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+
"eval_samples_per_second": 0.327,
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+
"eval_steps_per_second": 0.164
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}
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train_results.json
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{
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"epoch": 9.74,
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+
"train_loss": 0.18376290196818965,
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+
"train_runtime": 47972.5065,
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+
"train_samples": 3673,
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+
"train_samples_per_second": 0.766,
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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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| 1 |
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{
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