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# fine-tune-flan-t5

This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7668
- Rouge1: 0.267
- Rouge2: 0.1008
- Rougel: 0.2321
- Rougelsum: 0.2335
- Gen Len: 19.36

## 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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 301  | 0.8071          | 0.2304 | 0.0799 | 0.1958 | 0.1966    | 19.42   |
| 0.8375        | 2.0   | 602  | 0.8009          | 0.2368 | 0.0763 | 0.1966 | 0.1978    | 19.41   |
| 0.8375        | 3.0   | 903  | 0.7935          | 0.2496 | 0.08   | 0.2114 | 0.2119    | 19.57   |
| 0.8146        | 4.0   | 1204 | 0.7900          | 0.2556 | 0.0874 | 0.217  | 0.2178    | 19.55   |
| 0.7923        | 5.0   | 1505 | 0.7893          | 0.2565 | 0.089  | 0.2145 | 0.2157    | 19.46   |
| 0.7923        | 6.0   | 1806 | 0.7846          | 0.2512 | 0.087  | 0.2134 | 0.2139    | 19.35   |
| 0.7801        | 7.0   | 2107 | 0.7845          | 0.2499 | 0.082  | 0.2082 | 0.209     | 19.34   |
| 0.7801        | 8.0   | 2408 | 0.7792          | 0.2464 | 0.0822 | 0.2102 | 0.2105    | 19.52   |
| 0.7589        | 9.0   | 2709 | 0.7769          | 0.2433 | 0.0774 | 0.2049 | 0.206     | 19.32   |
| 0.7457        | 10.0  | 3010 | 0.7746          | 0.2459 | 0.0767 | 0.2073 | 0.2082    | 19.32   |
| 0.7457        | 11.0  | 3311 | 0.7740          | 0.245  | 0.0817 | 0.2086 | 0.2087    | 19.32   |
| 0.7495        | 12.0  | 3612 | 0.7736          | 0.2491 | 0.0824 | 0.2138 | 0.2144    | 19.31   |
| 0.7495        | 13.0  | 3913 | 0.7716          | 0.2541 | 0.0876 | 0.2172 | 0.2182    | 19.29   |
| 0.7341        | 14.0  | 4214 | 0.7694          | 0.2654 | 0.096  | 0.2274 | 0.2289    | 19.34   |
| 0.711         | 15.0  | 4515 | 0.7677          | 0.2672 | 0.1054 | 0.23   | 0.2312    | 19.35   |
| 0.711         | 16.0  | 4816 | 0.7698          | 0.2774 | 0.106  | 0.2395 | 0.2412    | 19.34   |
| 0.7158        | 17.0  | 5117 | 0.7693          | 0.269  | 0.0973 | 0.2301 | 0.2317    | 19.5    |
| 0.7158        | 18.0  | 5418 | 0.7683          | 0.2696 | 0.1062 | 0.233  | 0.2342    | 19.3    |
| 0.7016        | 19.0  | 5719 | 0.7694          | 0.2601 | 0.0971 | 0.2258 | 0.2271    | 19.29   |
| 0.6977        | 20.0  | 6020 | 0.7687          | 0.269  | 0.0999 | 0.2328 | 0.2341    | 19.33   |
| 0.6977        | 21.0  | 6321 | 0.7676          | 0.2658 | 0.099  | 0.2297 | 0.2304    | 19.32   |
| 0.7028        | 22.0  | 6622 | 0.7674          | 0.2654 | 0.0986 | 0.2299 | 0.2308    | 19.29   |
| 0.7028        | 23.0  | 6923 | 0.7676          | 0.2666 | 0.0993 | 0.231  | 0.2328    | 19.34   |
| 0.6698        | 24.0  | 7224 | 0.7667          | 0.2658 | 0.0989 | 0.2296 | 0.2314    | 19.35   |
| 0.6956        | 25.0  | 7525 | 0.7670          | 0.2669 | 0.0992 | 0.2295 | 0.2308    | 19.35   |
| 0.6956        | 26.0  | 7826 | 0.7669          | 0.2618 | 0.0966 | 0.2259 | 0.2269    | 19.31   |
| 0.6776        | 27.0  | 8127 | 0.7671          | 0.2658 | 0.0983 | 0.2296 | 0.2319    | 19.35   |
| 0.6776        | 28.0  | 8428 | 0.7672          | 0.2661 | 0.0998 | 0.2311 | 0.2328    | 19.35   |
| 0.6891        | 29.0  | 8729 | 0.7668          | 0.267  | 0.1008 | 0.2321 | 0.2335    | 19.35   |
| 0.6772        | 30.0  | 9030 | 0.7668          | 0.267  | 0.1008 | 0.2321 | 0.2335    | 19.36   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "base_model": "google/flan-t5-small", "model-index": [{"name": "fine-tune-llama2", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:google/flan-t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us