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Dhahlan2000
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Chitti-Base-model-for-GPT-v2

Text2Text Generation
Transformers
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t5
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text-generation-inference
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Files changed (10) hide show
  1. README.md +63 -0
  2. config.json +61 -0
  3. generation_config.json +6 -0
  4. model.safetensors +3 -0
  5. runs/Jun17_07-29-13_08b25d45c070/events.out.tfevents.1718609354.08b25d45c070.907.0 +3 -0
  6. special_tokens_map.json +125 -0
  7. spiece.model +3 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +941 -0
  10. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: Dhahlan2000/Chitti-Base-model-for-GPT-v1
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: Chitti-Base-model-for-GPT-v2
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Chitti-Base-model-for-GPT-v2
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+
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+ This model is a fine-tuned version of [Dhahlan2000/Chitti-Base-model-for-GPT-v1](https://huggingface.co/Dhahlan2000/Chitti-Base-model-for-GPT-v1) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3208
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+ - Bleu: 1.2028
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+ - Gen Len: 13.7173
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 16
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+ - eval_batch_size: 16
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 2
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
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+ | 3.5683 | 1.0 | 9282 | 3.3450 | 1.04 | 13.7287 |
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+ | 3.5534 | 2.0 | 18564 | 3.3208 | 1.2028 | 13.7173 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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