SiddhanthRaja
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End of training
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README.md
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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: []
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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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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size:
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- eval_batch_size:
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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:
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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 |
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### Framework versions
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- Transformers 4.35.
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- Pytorch 2.
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- Datasets 2.
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- Tokenizers 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
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generation_config.json
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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.
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}
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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": "4.35.0"
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}
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model.safetensors
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size 990345064
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size 990345064
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runs/Nov18_17-06-56_6c367cafd2b8/events.out.tfevents.1700327221.6c367cafd2b8.47.0
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size 7968
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