End of training
Browse files- README.md +68 -0
- generation_config.json +15 -0
README.md
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---
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license: mit
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base_model: facebook/bart-large-cnn
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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: video_transcript_summary
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# video_transcript_summary
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This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.9619
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- Rouge1: 0.3774
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- Rouge2: 0.1256
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- Rougel: 0.2607
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- Rougelsum: 0.2615
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- Gen Len: 69.9412
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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: 16
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- eval_batch_size: 16
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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 | 5 | 2.1870 | 0.3207 | 0.0851 | 0.2147 | 0.2132 | 75.6471 |
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| No log | 2.0 | 10 | 2.0146 | 0.3715 | 0.1267 | 0.2567 | 0.2563 | 68.7059 |
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| No log | 3.0 | 15 | 1.9649 | 0.3759 | 0.1432 | 0.2809 | 0.2818 | 66.5882 |
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| No log | 4.0 | 20 | 1.9619 | 0.3774 | 0.1256 | 0.2607 | 0.2615 | 69.9412 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.1+cu118
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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generation_config.json
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{
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"bos_token_id": 0,
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"decoder_start_token_id": 2,
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"early_stopping": true,
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"eos_token_id": 2,
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"forced_bos_token_id": 0,
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"forced_eos_token_id": 2,
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"length_penalty": 2.0,
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"max_length": 142,
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"min_length": 56,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"pad_token_id": 1,
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"transformers_version": "4.41.2"
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}
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