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abdulllah01/mt5-Summarizer-FineTuned

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Files changed (12) hide show
  1. README.md +9 -9
  2. config.json +66 -23
  3. generation_config.json +9 -3
  4. merges.txt +0 -0
  5. model.safetensors +2 -2
  6. runs/Jul23_17-08-34_9a6eb9b41bfa/events.out.tfevents.1721754556.9a6eb9b41bfa.1957.0 +3 -0
  7. runs/Jul23_17-08-34_9a6eb9b41bfa/events.out.tfevents.1721755434.9a6eb9b41bfa.1957.1 +3 -0
  8. special_tokens_map.json +10 -18
  9. tokenizer.json +2 -2
  10. tokenizer_config.json +23 -805
  11. training_args.bin +1 -1
  12. vocab.json +0 -0
README.md CHANGED
@@ -1,6 +1,6 @@
1
  ---
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  license: apache-2.0
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- base_model: google/mt5-small
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  tags:
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  - generated_from_trainer
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  datasets:
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 32.8775
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  ---
27
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,13 +30,13 @@ should probably proofread and complete it, then remove this comment. -->
30
 
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  # check
32
 
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- This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the samsum dataset.
34
  It achieves the following results on the evaluation set:
35
- - Loss: 2.2626
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- - Rouge1: 32.8775
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- - Rouge2: 13.0354
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- - Rougel: 28.8317
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- - Rougelsum: 30.5774
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  ## Model description
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@@ -67,7 +67,7 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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- | 4.3797 | 1.0 | 1842 | 2.2626 | 32.8775 | 13.0354 | 28.8317 | 30.5774 |
71
 
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: facebook/bart-base
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  tags:
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  - generated_from_trainer
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  datasets:
 
22
  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 49.3884
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  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # check
32
 
33
+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the samsum dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.4939
36
+ - Rouge1: 49.3884
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+ - Rouge2: 25.7258
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+ - Rougel: 42.1007
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+ - Rougelsum: 45.5527
40
 
41
  ## Model description
42
 
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
69
  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 1.8382 | 1.0 | 1842 | 1.4939 | 49.3884 | 25.7258 | 42.1007 | 45.5527 |
71
 
72
 
73
  ### Framework versions
config.json CHANGED
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