SiddhanthRaja commited on
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End of training

Browse files
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: philschmid/flan-t5-base-samsum
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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-base-samsum-spotify-podcasts
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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-base-samsum-spotify-podcasts
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  This model is a fine-tuned version of [philschmid/flan-t5-base-samsum](https://huggingface.co/philschmid/flan-t5-base-samsum) on an unknown dataset.
 
 
 
 
 
 
 
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  ## Model description
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@@ -33,24 +42,27 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-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: 1
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  - mixed_precision_training: Native AMP
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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 | 466 | nan | 0.1911 | 0.0819 | 0.1582 | 0.158 | 18.5279 |
 
 
 
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.15.0
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- - Tokenizers 0.15.0
 
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  base_model: philschmid/flan-t5-base-samsum
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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-base-samsum-spotify-podcasts
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  results: []
 
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  # flan-t5-base-samsum-spotify-podcasts
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  This model is a fine-tuned version of [philschmid/flan-t5-base-samsum](https://huggingface.co/philschmid/flan-t5-base-samsum) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.3026
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+ - Rouge1: 0.27
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+ - Rouge2: 0.1512
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+ - Rougel: 0.2352
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+ - Rougelsum: 0.2355
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 4
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  - mixed_precision_training: Native AMP
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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 | 233 | 1.3963 | 0.2419 | 0.1266 | 0.2079 | 0.2077 | 19.0 |
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+ | No log | 2.0 | 466 | 1.3356 | 0.2637 | 0.1432 | 0.2265 | 0.2263 | 19.0 |
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+ | 1.6496 | 3.0 | 699 | 1.3088 | 0.2695 | 0.1491 | 0.2331 | 0.2331 | 19.0 |
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+ | 1.6496 | 4.0 | 932 | 1.3026 | 0.27 | 0.1512 | 0.2352 | 0.2355 | 19.0 |
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  ### Framework versions
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+ - Transformers 4.35.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.14.1
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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  "decoder_start_token_id": 0,
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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- "transformers_version": "4.35.2"
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  }
 
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  "eos_token_id": 1,
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  "pad_token_id": 0,
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+ "transformers_version": "4.35.0"
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