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# question-context-random-to10-p-v2

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 9.1962
- Rouge1: 0.0086
- Rouge2: 0.0
- Rougel: 0.0069
- Rougelsum: 0.007
- Gen Len: 7.9333

## 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: 1
- eval_batch_size: 1
- seed: 42
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 43   | 15.6149         | 0.0054 | 0.0    | 0.0051 | 0.0054    | 4.2667  |
| No log        | 2.0   | 86   | 11.6382         | 0.0054 | 0.0    | 0.0051 | 0.0054    | 4.2667  |
| No log        | 3.0   | 129  | 11.6215         | 0.0086 | 0.0    | 0.0069 | 0.0071    | 4.6667  |
| No log        | 4.0   | 172  | 11.8024         | 0.0086 | 0.0    | 0.0069 | 0.0071    | 4.6667  |
| No log        | 5.0   | 215  | 10.6855         | 0.0086 | 0.0    | 0.0069 | 0.0071    | 5.0667  |
| No log        | 6.0   | 258  | 9.3720          | 0.0086 | 0.0    | 0.0069 | 0.0071    | 5.2     |
| No log        | 7.0   | 301  | 9.2437          | 0.0086 | 0.0    | 0.0069 | 0.007     | 6.8     |
| No log        | 8.0   | 344  | 9.3835          | 0.0086 | 0.0    | 0.0069 | 0.007     | 6.8     |
| No log        | 9.0   | 387  | 9.2842          | 0.0086 | 0.0    | 0.0069 | 0.007     | 7.9333  |
| No log        | 10.0  | 430  | 9.1962          | 0.0086 | 0.0    | 0.0069 | 0.007     | 7.9333  |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["rouge"], "model-index": [{"name": "question-context-random-to10-p-v2", "results": []}]}
transformers pytorch tensorboard mt5 text2text-generation generated_from_trainer license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #mt5 #text2text-generation #generated_from_trainer #license-apache-2.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

question-context-random-to10-p-v2
=================================


This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 9.1962
* Rouge1: 0.0086
* Rouge2: 0.0
* Rougel: 0.0069
* Rougelsum: 0.007
* Gen Len: 7.9333


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: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 2e-05
* train\_batch\_size: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3
TAGS
#transformers #pytorch #tensorboard #mt5 #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: 1
* eval\_batch\_size: 1
* seed: 42
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.28.0
* Pytorch 2.0.1+cu118
* Datasets 2.12.0
* Tokenizers 0.13.3