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ca-finetuned-flan-t5-large

Text2Text Generation
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Safetensors
t5
Generated from Trainer
text-generation-inference
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ca-finetuned-flan-t5-large

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Files changed (19) hide show
  1. README.md +13 -16
  2. emissions.csv +2 -0
  3. generation_config.json +1 -0
  4. model.safetensors +1 -1
  5. runs/Feb15_16-27-46_c0c8f2aaa2e2/events.out.tfevents.1708014469.c0c8f2aaa2e2.39332.0 +3 -0
  6. runs/Feb15_16-29-47_c0c8f2aaa2e2/events.out.tfevents.1708014589.c0c8f2aaa2e2.39589.0 +3 -0
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  18. runs/Feb15_17-06-32_c0c8f2aaa2e2/events.out.tfevents.1708016794.c0c8f2aaa2e2.42665.0 +3 -0
  19. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ license: apache-2.0
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  base_model: google/flan-t5-large
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  tags:
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  - generated_from_trainer
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- metrics:
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- - accuracy
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  model-index:
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  - name: ca-finetuned-flan-t5-large
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  results: []
@@ -17,8 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 5.3915
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- - Accuracy: 0.0667
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  ## Model description
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@@ -47,18 +44,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 3.3712 | 1.0 | 23 | 2.8727 | 0.0028 |
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- | 1.8522 | 2.0 | 46 | 3.0376 | 0.0333 |
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- | 1.0511 | 3.0 | 69 | 3.3480 | 0.0528 |
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- | 0.6972 | 4.0 | 92 | 3.7006 | 0.0417 |
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- | 0.5066 | 5.0 | 115 | 3.8307 | 0.0556 |
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- | 0.3017 | 6.0 | 138 | 4.5624 | 0.0611 |
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- | 0.1929 | 7.0 | 161 | 4.6136 | 0.0694 |
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- | 0.1591 | 8.0 | 184 | 4.8349 | 0.0611 |
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- | 0.1061 | 9.0 | 207 | 5.0931 | 0.0611 |
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- | 0.0638 | 10.0 | 230 | 5.3915 | 0.0667 |
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  ### Framework versions
 
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  base_model: google/flan-t5-large
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: ca-finetuned-flan-t5-large
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  results: []
 
15
 
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  This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 5.4606
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.3366 | 1.0 | 34 | 2.7448 |
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+ | 1.8401 | 2.0 | 68 | 2.8152 |
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+ | 1.1512 | 3.0 | 102 | 2.9234 |
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+ | 0.697 | 4.0 | 136 | 3.3972 |
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+ | 0.4054 | 5.0 | 170 | 3.7261 |
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+ | 0.2705 | 6.0 | 204 | 4.0965 |
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+ | 0.2058 | 7.0 | 238 | 4.2119 |
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+ | 0.121 | 8.0 | 272 | 5.1648 |
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+ | 0.0932 | 9.0 | 306 | 5.5543 |
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+ | 0.0755 | 10.0 | 340 | 5.4606 |
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  ### Framework versions
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