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# amsterdam_100bm25_passages

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: 5.5628
- Rouge1: 0.1219
- Rouge2: 0.0255
- Rougel: 0.1106
- Rougelsum: 0.1112
- Gen Len: 19.0

## 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   | 58   | 19.3812         | 0.0    | 0.0    | 0.0    | 0.0       | 4.0     |
| No log        | 2.0   | 116  | 16.2740         | 0.0053 | 0.0    | 0.0053 | 0.0053    | 4.4667  |
| No log        | 3.0   | 174  | 14.9688         | 0.0197 | 0.0042 | 0.0198 | 0.0199    | 5.6667  |
| No log        | 4.0   | 232  | 11.6524         | 0.02   | 0.0073 | 0.0177 | 0.018     | 6.6667  |
| No log        | 5.0   | 290  | 9.4875          | 0.0255 | 0.0073 | 0.0226 | 0.0231    | 7.8667  |
| No log        | 6.0   | 348  | 8.0678          | 0.0503 | 0.0136 | 0.0493 | 0.049     | 10.6    |
| No log        | 7.0   | 406  | 6.4898          | 0.0976 | 0.0167 | 0.0858 | 0.0866    | 14.9333 |
| No log        | 8.0   | 464  | 6.0317          | 0.113  | 0.0232 | 0.0995 | 0.1001    | 18.9333 |
| 13.519        | 9.0   | 522  | 5.6579          | 0.117  | 0.0238 | 0.1037 | 0.1046    | 19.0    |
| 13.519        | 10.0  | 580  | 5.5628          | 0.1219 | 0.0255 | 0.1106 | 0.1112    | 19.0    |


### 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": "amsterdam_100bm25_passages", "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 

amsterdam\_100bm25\_passages
============================


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: 5.5628
* Rouge1: 0.1219
* Rouge2: 0.0255
* Rougel: 0.1106
* Rougelsum: 0.1112
* Gen Len: 19.0


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