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# flan-t5-large-extraction-cnndm_8000-all-loss-ep10

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6575
- Hint Hit: 1.7631
- Hint Hit Num: 2.4865
- Hint Precision: 0.453
- Hint Bleu: 4.5231
- Num: 5.3805
- Gen Len: 18.9892

## 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: 32
- eval_batch_size: 96
- seed: 1799
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Hint Hit | Hint Hit Num | Hint Precision | Hint Bleu | Num    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------------:|:--------------:|:---------:|:------:|:-------:|
| 2.0921        | 0.8   | 200  | 1.7095          | 1.6641   | 2.376        | 0.4415         | 4.2976    | 5.2234 | 18.9901 |
| 1.876         | 1.6   | 400  | 1.6834          | 1.7129   | 2.4296       | 0.4501         | 4.4331    | 5.2965 | 18.9881 |
| 1.8142        | 2.4   | 600  | 1.6666          | 1.7411   | 2.4613       | 0.4519         | 4.4792    | 5.3419 | 18.9868 |
| 1.7704        | 3.2   | 800  | 1.6575          | 1.7631   | 2.4865       | 0.453          | 4.5231    | 5.3805 | 18.9892 |
| 1.7315        | 4.0   | 1000 | 1.6601          | 1.7121   | 2.4268       | 0.4469         | 4.4013    | 5.2852 | 18.9858 |
| 1.6928        | 4.8   | 1200 | 1.6577          | 1.6925   | 2.4148       | 0.4468         | 4.3806    | 5.3039 | 18.9817 |
| 1.6707        | 5.6   | 1400 | 1.6605          | 1.6666   | 2.3931       | 0.444          | 4.3596    | 5.2993 | 18.9846 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "flan-t5-large-extraction-cnndm_8000-all-loss-ep10", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

flan-t5-large-extraction-cnndm\_8000-all-loss-ep10
==================================================


This model is a fine-tuned version of google/flan-t5-large on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.6575
* Hint Hit: 1.7631
* Hint Hit Num: 2.4865
* Hint Precision: 0.453
* Hint Bleu: 4.5231
* Num: 5.3805
* Gen Len: 18.9892


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: 32
* eval\_batch\_size: 96
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 96
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 96
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1
TAGS
#transformers #pytorch #t5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 32
* eval\_batch\_size: 96
* seed: 1799
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.18.0
* Pytorch 1.10.0+cu111
* Datasets 2.5.1
* Tokenizers 0.12.1