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# layer_13,14,15

This model is a fine-tuned version of [/pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/](https://huggingface.co//pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/) on the /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4570
- Accuracy: 0.2797

## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000

### Training results



### Framework versions

- Transformers 4.27.0
- Pytorch 1.12.1+gitcb6c422
- Datasets 2.11.0
- Tokenizers 0.13.3

{"tags": ["generated_from_trainer"], "datasets": ["/pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience"], "metrics": ["accuracy"], "model-index": [{"name": "layer_13,14,15", "results": [{"task": {"type": "text-generation", "name": "Causal Language Modeling"}, "dataset": {"name": "/pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience", "type": "/pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience"}, "metrics": [{"type": "accuracy", "value": 0.27968436193888074, "name": "Accuracy"}]}]}]}
transformers pytorch gpt_neox text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #gpt_neox #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 




# layer_13,14,15

This model is a fine-tuned version of /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/ on the /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4570
- Accuracy: 0.2797

## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000

### Training results



### Framework versions

- Transformers 4.27.0
- Pytorch 1.12.1+gitcb6c422
- Datasets 2.11.0
- Tokenizers 0.13.3

# layer_13,14,15

This model is a fine-tuned version of /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/ on the /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4570
- Accuracy: 0.2797 ## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000 ### Training results ### Framework versions

- Transformers 4.27.0
- Pytorch 1.12.1+gitcb6c422
- Datasets 2.11.0
- Tokenizers 0.13.3
TAGS
#transformers #pytorch #gpt_neox #text-generation #generated_from_trainer #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 # layer_13,14,15

This model is a fine-tuned version of /pfs/lustrep4/scratch/project_462000259/noah/instruct_1bil/transfer/pythia-deduped-1b-chat-base/ on the /pfs/lustrep4/scratch/project_462000259/noah/instruct-datasets/askscience dataset.
It achieves the following results on the evaluation set:
- Loss: 5.4570
- Accuracy: 0.2797 ## 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: 0.0001
- train_batch_size: 24
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 192
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 6000 ### Training results ### Framework versions

- Transformers 4.27.0
- Pytorch 1.12.1+gitcb6c422
- Datasets 2.11.0
- Tokenizers 0.13.3