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# flan-t5-large-Imagine-WQ

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Gen Len: 509.77
- Loss: 3.4156
- Rouge1: 20.6216
- Rouge2: 4.1953
- Rougel: 16.091
- Rougelsum: 17.4067

## 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: 0.0001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.08
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Gen Len  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:--------:|:---------------:|:-------:|:------:|:-------:|:---------:|
| No log        | 1.0   | 218  | 508.68   | 3.5702          | 16.525  | 3.2484 | 14.5949 | 13.3919   |
| No log        | 2.0   | 436  | 509.62   | 3.5013          | 17.6208 | 3.7153 | 14.7229 | 14.9556   |
| No log        | 3.0   | 654  | 509.9767 | 3.4592          | 19.4782 | 3.9388 | 15.7853 | 16.3468   |
| No log        | 4.0   | 872  | 509.8233 | 3.4337          | 20.8148 | 4.287  | 16.3887 | 17.3557   |
| No log        | 5.0   | 1090 | 509.77   | 3.4156          | 20.6216 | 4.1953 | 16.091  | 17.4067   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-large", "model-index": [{"name": "flan-t5-large-Imagine-WQ", "results": []}]}
transformers tensorboard t5 text2text-generation generated_from_trainer base_model:google/flan-t5-large license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us