
<!-- 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. -->

# bloom-560m-finetuned-wikitext2-finetuned-wikitext2

This model is a fine-tuned version of [sai1881/bloom-560m-finetuned-wikitext2](https://huggingface.co/sai1881/bloom-560m-finetuned-wikitext2) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9777
- eval_runtime: 20.6189
- eval_samples_per_second: 23.474
- eval_steps_per_second: 2.958
- epoch: 4.0
- step: 2328

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

{"license": "bigscience-bloom-rail-1.0", "tags": ["generated_from_trainer"], "model-index": [{"name": "bloom-560m-finetuned-wikitext2-finetuned-wikitext2", "results": []}]}
transformers pytorch tensorboard bloom text-generation generated_from_trainer license:bigscience-bloom-rail-1.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #tensorboard #bloom #text-generation #generated_from_trainer #license-bigscience-bloom-rail-1.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# bloom-560m-finetuned-wikitext2-finetuned-wikitext2

This model is a fine-tuned version of sai1881/bloom-560m-finetuned-wikitext2 on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9777
- eval_runtime: 20.6189
- eval_samples_per_second: 23.474
- eval_steps_per_second: 2.958
- epoch: 4.0
- step: 2328

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2

# bloom-560m-finetuned-wikitext2-finetuned-wikitext2

This model is a fine-tuned version of sai1881/bloom-560m-finetuned-wikitext2 on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9777
- eval_runtime: 20.6189
- eval_samples_per_second: 23.474
- eval_steps_per_second: 2.958
- epoch: 4.0
- step: 2328 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bloom #text-generation #generated_from_trainer #license-bigscience-bloom-rail-1.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # bloom-560m-finetuned-wikitext2-finetuned-wikitext2

This model is a fine-tuned version of sai1881/bloom-560m-finetuned-wikitext2 on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9777
- eval_runtime: 20.6189
- eval_samples_per_second: 23.474
- eval_steps_per_second: 2.958
- epoch: 4.0
- step: 2328 ## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #bloom #text-generation #generated_from_trainer #license-bigscience-bloom-rail-1.0 #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
# bloom-560m-finetuned-wikitext2-finetuned-wikitext2

This model is a fine-tuned version of sai1881/bloom-560m-finetuned-wikitext2 on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 4.9777
- eval_runtime: 20.6189
- eval_samples_per_second: 23.474
- eval_steps_per_second: 2.958
- epoch: 4.0
- step: 2328## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2