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flan_t5_finetuned_sarcastic

Text2Text Generation
Transformers
Safetensors
t5
Generated from Trainer
text-generation-inference
Inference Endpoints
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End of training

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  1. README.md +14 -4
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ 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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  model-index:
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  - name: flan_t5_finetuned_sarcastic
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  results: []
@@ -14,6 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
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  # flan_t5_finetuned_sarcastic
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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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  ## Model description
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@@ -38,13 +47,14 @@ 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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- - training_steps: 50
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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- |:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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- | No log | 0.0600 | 50 | 3.7497 | 19.5243 | 6.3219 | 17.5522 | 17.6614 | 16.7258 |
 
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  ### Framework versions
 
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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:
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+ - rouge
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  model-index:
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  - name: flan_t5_finetuned_sarcastic
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  results: []
 
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  # flan_t5_finetuned_sarcastic
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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: 4.5109
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+ - Rouge1: 19.0525
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+ - Rouge2: 6.5322
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+ - Rougel: 17.439
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+ - Rougelsum: 17.4744
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+ - Gen Len: 17.4448
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  ## Model description
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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: 2
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
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+ | 1.6482 | 1.0 | 834 | 4.4165 | 18.9525 | 6.7215 | 17.5456 | 17.4554 | 17.1070 |
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+ | 1.4688 | 2.0 | 1668 | 4.5109 | 19.0525 | 6.5322 | 17.439 | 17.4744 | 17.4448 |
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  ### Framework versions
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