End of training
Browse files- README.md +13 -13
- all_results.json +18 -0
- eval_results.json +13 -0
- train_results.json +8 -0
- trainer_state.json +2133 -0
README.md
CHANGED
|
@@ -4,25 +4,25 @@ base_model: google/long-t5-tglobal-xl
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| 4 |
tags:
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| 5 |
- generated_from_trainer
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| 6 |
datasets:
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| 7 |
-
- scrolls
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| 8 |
metrics:
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| 9 |
- rouge
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| 10 |
model-index:
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| 11 |
- name: longt5_xl_gov_5
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| 12 |
results:
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| 13 |
- task:
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| 14 |
-
name:
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| 15 |
-
type:
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| 16 |
dataset:
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| 17 |
-
name: scrolls
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| 18 |
-
type: scrolls
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| 19 |
config: gov_report
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| 20 |
split: validation
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| 21 |
args: gov_report
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| 22 |
metrics:
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| 23 |
- name: Rouge1
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| 24 |
type: rouge
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| 25 |
-
value:
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| 26 |
---
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| 27 |
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| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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@@ -30,14 +30,14 @@ should probably proofread and complete it, then remove this comment. -->
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| 30 |
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| 31 |
# longt5_xl_gov_5
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| 32 |
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| 33 |
-
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the scrolls dataset.
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| 34 |
It achieves the following results on the evaluation set:
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| 35 |
-
- Loss: 1.
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| 36 |
-
- Rouge1:
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| 37 |
-
- Rouge2:
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| 38 |
-
- Rougel:
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| 39 |
-
- Rougelsum:
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| 40 |
-
- Gen Len:
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| 41 |
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| 42 |
## Model description
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| 43 |
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| 4 |
tags:
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| 5 |
- generated_from_trainer
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| 6 |
datasets:
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| 7 |
+
- tau/scrolls
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| 8 |
metrics:
|
| 9 |
- rouge
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| 10 |
model-index:
|
| 11 |
- name: longt5_xl_gov_5
|
| 12 |
results:
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| 13 |
- task:
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| 14 |
+
name: Summarization
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| 15 |
+
type: summarization
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| 16 |
dataset:
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| 17 |
+
name: tau/scrolls gov_report
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| 18 |
+
type: tau/scrolls
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| 19 |
config: gov_report
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| 20 |
split: validation
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| 21 |
args: gov_report
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| 22 |
metrics:
|
| 23 |
- name: Rouge1
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| 24 |
type: rouge
|
| 25 |
+
value: 54.2522
|
| 26 |
---
|
| 27 |
|
| 28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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|
|
|
| 30 |
|
| 31 |
# longt5_xl_gov_5
|
| 32 |
|
| 33 |
+
This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the tau/scrolls gov_report dataset.
|
| 34 |
It achieves the following results on the evaluation set:
|
| 35 |
+
- Loss: 1.4141
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| 36 |
+
- Rouge1: 54.2522
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| 37 |
+
- Rouge2: 24.7528
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| 38 |
+
- Rougel: 27.2444
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| 39 |
+
- Rougelsum: 51.5916
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| 40 |
+
- Gen Len: 889.25
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| 41 |
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| 42 |
## Model description
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| 43 |
|
all_results.json
ADDED
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@@ -0,0 +1,18 @@
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+
{
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+
"epoch": 4.99,
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| 3 |
+
"eval_gen_len": 889.25,
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| 4 |
+
"eval_loss": 1.4141343832015991,
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| 5 |
+
"eval_rouge1": 54.2522,
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| 6 |
+
"eval_rouge2": 24.7528,
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| 7 |
+
"eval_rougeL": 27.2444,
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| 8 |
+
"eval_rougeLsum": 51.5916,
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| 9 |
+
"eval_runtime": 9829.8875,
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| 10 |
+
"eval_samples": 972,
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| 11 |
+
"eval_samples_per_second": 0.099,
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| 12 |
+
"eval_steps_per_second": 0.012,
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| 13 |
+
"train_loss": 1.3253671477822697,
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| 14 |
+
"train_runtime": 159961.9679,
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| 15 |
+
"train_samples": 17457,
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| 16 |
+
"train_samples_per_second": 0.546,
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| 17 |
+
"train_steps_per_second": 0.004
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| 18 |
+
}
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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": 4.99,
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+
"eval_gen_len": 889.25,
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+
"eval_loss": 1.4141343832015991,
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| 5 |
+
"eval_rouge1": 54.2522,
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| 6 |
+
"eval_rouge2": 24.7528,
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| 7 |
+
"eval_rougeL": 27.2444,
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| 8 |
+
"eval_rougeLsum": 51.5916,
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| 9 |
+
"eval_runtime": 9829.8875,
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| 10 |
+
"eval_samples": 972,
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| 11 |
+
"eval_samples_per_second": 0.099,
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| 12 |
+
"eval_steps_per_second": 0.012
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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": 4.99,
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+
"train_loss": 1.3253671477822697,
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+
"train_runtime": 159961.9679,
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| 5 |
+
"train_samples": 17457,
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+
"train_samples_per_second": 0.546,
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+
"train_steps_per_second": 0.004
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+
}
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trainer_state.json
ADDED
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@@ -0,0 +1,2133 @@
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