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---
tags:
- generated_from_trainer
model_index:
- name: hybrid_hbh_t5-small_ami_sum
results:
- task:
name: Summarization
type: summarization
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# hybrid_hbh_t5-small_ami_sum
This model is a fine-tuned version of [t5-small](https://huggingface.co/best-models/H) on an AMI dataset for dialogue summarization task.
## 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: 0.0005
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100.0
- label_smoothing_factor: 0.1
### Results on Test Set
- predict_gen_len = 329.2
- predict_rouge1 = **48.7673**
- predict_rouge2 = **18.1832**
- predict_rougeL = **26.1713**
- predict_rougeLsum = **46.8434**
- predict_samples = 20
- predict_samples_per_second = 1.098
- predict_steps_per_second = 0.274
### Framework versions
- Transformers 4.8.0
- Pytorch 1.6.0
- Datasets 1.10.2
- Tokenizers 0.10.3
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