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deronDi
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t-finetuned-event-extract

Text2Text Generation
Transformers
PyTorch
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
deronDi commited on
Commit
97ba02d
•
1 Parent(s): f13faf1

End of training

Browse files
Files changed (7) hide show
  1. README.md +1 -25
  2. config.json +8 -7
  3. pytorch_model.bin +2 -2
  4. special_tokens_map.json +21 -3
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +5 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,6 @@
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  ---
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  tags:
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  - generated_from_trainer
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- metrics:
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- - bleu
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  model-index:
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  - name: t-finetuned-event-extract
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  results: []
@@ -14,15 +12,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # t-finetuned-event-extract
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  This model was trained from scratch on the None dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.5253
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- - Bleu: 0.0020
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- - Precisions: [0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 0.5630252100840336, 0.33636363636363636, 0.27722772277227725, 0.2608695652173913, 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- - Brevity Penalty: 0.0060
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- - Length Ratio: 9.3260
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- - Translation Length: 11900
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- - Reference Length: 127600
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- - Gen Len: 15.7273
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  ## Model description
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@@ -47,20 +36,7 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 7
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-
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- ### Training results
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-
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- | Training Loss | Epoch | Step | Validation Loss | Bleu | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Gen Len |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|:-------:|
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- | No log | 1.0 | 59 | 2.3267 | 0.0002 | [0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 0.05952380952380952, 0.0410958904109589, 0.29245283018867924, 0.12631578947368421, 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57
- | No log | 2.0 | 118 | 2.0965 | 0.0049 | [0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 0.17699115044247787, 0.16666666666666666, 0.3925925925925926, 0.23387096774193547, 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58
- | No log | 3.0 | 177 | 1.8278 | 0.0059 | [0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 0.44029850746268656, 0.3008130081300813, 0.25, 0.2376237623762376, 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59
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60
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61
- | No log | 6.0 | 354 | 1.5462 | 0.0010 | [0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 0.3614457831325301, 0.5181818181818182, 0.4158415841584158, 0.3804347826086957, 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62
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63
-
64
 
65
  ### Framework versions
66
 
 
1
  ---
2
  tags:
3
  - generated_from_trainer
 
 
4
  model-index:
5
  - name: t-finetuned-event-extract
6
  results: []
 
12
  # t-finetuned-event-extract
13
 
14
  This model was trained from scratch on the None dataset.
 
 
 
 
 
 
 
 
 
15
 
16
  ## Model description
17
 
 
36
  - seed: 42
37
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
38
  - lr_scheduler_type: linear
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+ - num_epochs: 33
 
 
 
 
 
 
 
 
 
 
 
 
 
40
 
41
  ### Framework versions
42
 
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