
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mT5-bm25-10pass-all-questions-QA

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:
- eval_loss: 2.3310
- eval_rouge1: 0.0688
- eval_rouge2: 0.0121
- eval_rougeL: 0.0614
- eval_rougeLsum: 0.0615
- eval_gen_len: 7.6507
- eval_runtime: 495.0904
- eval_samples_per_second: 7.574
- eval_steps_per_second: 7.574
- epoch: 5.0
- step: 56240

## 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

### 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"], "model-index": [{"name": "mT5-bm25-10pass-all-questions-QA", "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 




# mT5-bm25-10pass-all-questions-QA

This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.3310
- eval_rouge1: 0.0688
- eval_rouge2: 0.0121
- eval_rougeL: 0.0614
- eval_rougeLsum: 0.0615
- eval_gen_len: 7.6507
- eval_runtime: 495.0904
- eval_samples_per_second: 7.574
- eval_steps_per_second: 7.574
- epoch: 5.0
- step: 56240

## 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

### Framework versions

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

# mT5-bm25-10pass-all-questions-QA

This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.3310
- eval_rouge1: 0.0688
- eval_rouge2: 0.0121
- eval_rougeL: 0.0614
- eval_rougeLsum: 0.0615
- eval_gen_len: 7.6507
- eval_runtime: 495.0904
- eval_samples_per_second: 7.574
- eval_steps_per_second: 7.574
- epoch: 5.0
- step: 56240 ## 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 ### 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 
 # mT5-bm25-10pass-all-questions-QA

This model is a fine-tuned version of google/mt5-small on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.3310
- eval_rouge1: 0.0688
- eval_rouge2: 0.0121
- eval_rougeL: 0.0614
- eval_rougeLsum: 0.0615
- eval_gen_len: 7.6507
- eval_runtime: 495.0904
- eval_samples_per_second: 7.574
- eval_steps_per_second: 7.574
- epoch: 5.0
- step: 56240 ## 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 ### Framework versions

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