Floyd93 commited on
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End of training

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README.md CHANGED
@@ -17,11 +17,11 @@ 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-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7924
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- - Rouge1: 19.257
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- - Rouge2: 16.2211
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- - Rougel: 19.1608
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- - Rougelsum: 19.0681
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  - Gen Len: 19.0
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  ## Model description
@@ -42,24 +42,23 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 2
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- - eval_batch_size: 2
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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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- | No log | 1.0 | 35 | 0.8425 | 18.4127 | 15.0168 | 18.2095 | 18.2336 | 19.0 |
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- | No log | 2.0 | 70 | 0.7924 | 19.257 | 16.2211 | 19.1608 | 19.0681 | 19.0 |
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  ### Framework versions
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- - Transformers 4.36.1
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8955
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+ - Rouge1: 16.29
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+ - Rouge2: 13.1077
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+ - Rougel: 16.322
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+ - Rougelsum: 16.301
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  - Gen Len: 19.0
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  ## Model description
 
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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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: 1
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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 | 1.0 | 70 | 0.8955 | 16.29 | 13.1077 | 16.322 | 16.301 | 19.0 |
 
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  ### Framework versions
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+ - Transformers 4.36.2
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.15.0
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  - Tokenizers 0.15.0
config.json CHANGED
@@ -56,7 +56,7 @@
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  },
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.36.1",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
 
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  },
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.36.2",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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