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pavlichenko
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flan-t5-small-comma-correction

Text2Text Generation
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t5
Generated from Trainer
text-generation-inference
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Files changed (4) hide show
  1. README.md +15 -15
  2. emissions.csv +1 -0
  3. model.safetensors +1 -1
  4. runs/Nov13_11-31-00_4738cfb2f99b/events.out.tfevents.1699875073.4738cfb2f99b.9.0 +2 -2
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  license: apache-2.0
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- base_model: google/flan-t5-base
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -8,25 +8,25 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: flan-t5-base-comma-correction
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  results: []
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  ---
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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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  should probably proofread and complete it, then remove this comment. -->
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- # flan-t5-base-comma-correction
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- This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0492
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- - Gen Len: 39.5298
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- - Em Ic: 0.9334
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- - Em: 0.6384
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- - Precision: 0.9141
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- - Recall: 0.8575
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- - F1: 0.8248
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- - Levinstein Ratio: 0.9955
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  ## Model description
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@@ -58,9 +58,9 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Gen Len | Em Ic | Em | Precision | Recall | F1 | Levinstein Ratio |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:------:|:------:|:----------------:|
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- | 0.042 | 1.0 | 2159 | 0.0500 | 39.4971 | 0.9328 | 0.6256 | 0.9175 | 0.8452 | 0.8165 | 0.9954 |
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- | 0.0342 | 2.0 | 4318 | 0.0492 | 39.5158 | 0.9334 | 0.6361 | 0.9159 | 0.8546 | 0.8229 | 0.9955 |
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- | 0.0346 | 3.0 | 6477 | 0.0492 | 39.5298 | 0.9334 | 0.6384 | 0.9141 | 0.8575 | 0.8248 | 0.9955 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: google/flan-t5-small
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - recall
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  - f1
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  model-index:
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+ - name: flan-t5-small-comma-correction
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  results: []
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  ---
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # flan-t5-small-comma-correction
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+ This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0662
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+ - Gen Len: 39.2167
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+ - Em Ic: 0.934
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+ - Em: 0.5759
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+ - Precision: 0.9177
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+ - Recall: 0.7736
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+ - F1: 0.7575
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+ - Levinstein Ratio: 0.9954
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Gen Len | Em Ic | Em | Precision | Recall | F1 | Levinstein Ratio |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:------:|:---------:|:------:|:------:|:----------------:|
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+ | 0.0694 | 1.0 | 2159 | 0.0696 | 39.1396 | 0.9299 | 0.5543 | 0.9178 | 0.7509 | 0.7366 | 0.9951 |
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+ | 0.0558 | 2.0 | 4318 | 0.0670 | 39.1904 | 0.9334 | 0.5736 | 0.9195 | 0.7678 | 0.7537 | 0.9954 |
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+ | 0.0542 | 3.0 | 6477 | 0.0662 | 39.2167 | 0.934 | 0.5759 | 0.9177 | 0.7736 | 0.7575 | 0.9954 |
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  ### Framework versions
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