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# Chatbot

This model is a fine-tuned version of [EleutherAI/gpt-neo-125M](https://huggingface.co/EleutherAI/gpt-neo-125M) on an Anthropic's HH-RLHF dataset.


## Intended uses & limitations

This model is designed for research purposes only. I highly suggest not to use this in production.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2

### Tensorboard
You can view data about this model in [this](https://tensorboard.dev/experiment/lgu6VRXXR1C9lndVzbl3Ng]) tensorboard.

### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
{"license": "mit", "library_name": "transformers", "tags": ["generated_from_trainer"], "datasets": ["Anthropic/hh-rlhf"], "model-index": [{"name": "chatbot", "results": []}]}
transformers pytorch safetensors gpt_neo text-generation generated_from_trainer dataset:Anthropic/hh-rlhf license:mit autotrain_compatible endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #safetensors #gpt_neo #text-generation #generated_from_trainer #dataset-Anthropic/hh-rlhf #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 




# Chatbot

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an Anthropic's HH-RLHF dataset.


## Intended uses & limitations

This model is designed for research purposes only. I highly suggest not to use this in production.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2

### Tensorboard
You can view data about this model in this tensorboard.

### Framework versions

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

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an Anthropic's HH-RLHF dataset. ## Intended uses & limitations

This model is designed for research purposes only. I highly suggest not to use this in production. ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2 ### Tensorboard
You can view data about this model in this tensorboard. ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #safetensors #gpt_neo #text-generation #generated_from_trainer #dataset-Anthropic/hh-rlhf #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
 # Chatbot

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an Anthropic's HH-RLHF dataset. ## Intended uses & limitations

This model is designed for research purposes only. I highly suggest not to use this in production. ## Training procedure ### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2 ### Tensorboard
You can view data about this model in this tensorboard. ### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
TAGS
#transformers #pytorch #safetensors #gpt_neo #text-generation #generated_from_trainer #dataset-Anthropic/hh-rlhf #license-mit #autotrain_compatible #endpoints_compatible #has_space #region-us 
# Chatbot

This model is a fine-tuned version of EleutherAI/gpt-neo-125M on an Anthropic's HH-RLHF dataset.## Intended uses & limitations

This model is designed for research purposes only. I highly suggest not to use this in production.## Training procedure### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2### Tensorboard
You can view data about this model in this tensorboard.### Framework versions

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