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# ovo_je_samo_test

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2484
- eval_runtime: 763.6959
- eval_samples_per_second: 19.822
- eval_steps_per_second: 2.479
- epoch: 2.0
- step: 3906

## 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: 3.0

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "model-index": [{"name": "ovo_je_samo_test", "results": []}]}
transformers pytorch tensorboard gpt_neo text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 




# ovo_je_samo_test

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2484
- eval_runtime: 763.6959
- eval_samples_per_second: 19.822
- eval_steps_per_second: 2.479
- epoch: 2.0
- step: 3906

## 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: 3.0

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

# ovo_je_samo_test

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2484
- eval_runtime: 763.6959
- eval_samples_per_second: 19.822
- eval_steps_per_second: 2.479
- epoch: 2.0
- step: 3906 ## 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: 3.0 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #gpt_neo #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #region-us 
 # ovo_je_samo_test

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.2484
- eval_runtime: 763.6959
- eval_samples_per_second: 19.822
- eval_steps_per_second: 2.479
- epoch: 2.0
- step: 3906 ## 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: 3.0 ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2