Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("Ketan3101/chatbot_model")
model = AutoModelForCausalLM.from_pretrained("Ketan3101/chatbot_model")Quick Links
chatbot_model
This model is a fine-tuned version of openai-community/gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.4551
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3724 | 0.06 | 50 | 6.1788 |
| 6.286 | 0.12 | 100 | 6.0336 |
| 6.1512 | 0.18 | 150 | 5.9263 |
| 6.0683 | 0.24 | 200 | 5.8277 |
| 5.986 | 0.3 | 250 | 5.7590 |
| 5.9205 | 0.36 | 300 | 5.7009 |
| 5.8265 | 0.42 | 350 | 5.6524 |
| 5.7699 | 0.47 | 400 | 5.6017 |
| 5.8097 | 0.53 | 450 | 5.5629 |
| 5.7624 | 0.59 | 500 | 5.5347 |
| 5.689 | 0.65 | 550 | 5.5032 |
| 5.7271 | 0.71 | 600 | 5.4836 |
| 5.6464 | 0.77 | 650 | 5.4660 |
| 5.6965 | 0.83 | 700 | 5.4632 |
| 5.5684 | 0.89 | 750 | 5.4594 |
| 5.6917 | 0.95 | 800 | 5.4551 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for Ketan3101/chatbot_model
Base model
openai-community/gpt2
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ketan3101/chatbot_model")