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# tech-dialogue-summarization-3

This model is a fine-tuned version of [lidiya/bart-large-xsum-samsum](https://huggingface.co/lidiya/bart-large-xsum-samsum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3468
- Rouge1: 52.6316
- Rouge2: 32.4324
- Rougel: 47.3684
- Rougelsum: 47.3684
- Gen Len: 38.0

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 1    | 1.4146          | 52.6316 | 32.4324 | 47.3684 | 47.3684   | 38.0    |
| No log        | 2.0   | 2    | 1.3652          | 52.6316 | 32.4324 | 47.3684 | 47.3684   | 38.0    |
| No log        | 3.0   | 3    | 1.3468          | 52.6316 | 32.4324 | 47.3684 | 47.3684   | 38.0    |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "lidiya/bart-large-xsum-samsum", "model-index": [{"name": "tech-dialogue-summarization-3", "results": []}]}
transformers tensorboard safetensors bart text2text-generation generated_from_trainer base_model:lidiya/bart-large-xsum-samsum license:apache-2.0 autotrain_compatible endpoints_compatible region:us