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gokulsrinivasagan
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gpt_train_12_512

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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  1. README.md +248 -0
  2. config.json +39 -0
  3. generation_config.json +6 -0
  4. logs/events.out.tfevents.1719842154.s_005_m.77202.0 +3 -0
  5. merges.txt +0 -0
  6. model.safetensors +3 -0
  7. special_tokens_map.json +5 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +19 -0
  10. training_args.bin +3 -0
  11. vocab.json +0 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: openai-community/gpt2
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: gpt_train_12_512
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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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+ # gpt_train_12_512
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+
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+ This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 8.9141
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+ - Accuracy: 0.0917
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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: 1e-05
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+ - train_batch_size: 24
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+ - eval_batch_size: 24
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+ - seed: 10
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+ - distributed_type: multi-GPU
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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: 100
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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 | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 10.8828 | 0.0000 | 1 | 10.8828 | 0.0001 |
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+ | 10.8984 | 0.0001 | 2 | 10.8828 | 0.0001 |
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+ | 10.8906 | 0.0001 | 3 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0001 | 4 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0002 | 5 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0002 | 6 | 10.8828 | 0.0001 |
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+ | 10.8906 | 0.0003 | 7 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0003 | 8 | 10.8828 | 0.0001 |
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+ | 10.875 | 0.0003 | 9 | 10.8828 | 0.0001 |
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+ | 10.8984 | 0.0004 | 10 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0004 | 11 | 10.8828 | 0.0001 |
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+ | 10.8906 | 0.0004 | 12 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0005 | 13 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0005 | 14 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0005 | 15 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0006 | 16 | 10.8828 | 0.0001 |
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+ | 10.875 | 0.0006 | 17 | 10.8828 | 0.0001 |
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+ | 10.8828 | 0.0007 | 18 | 10.6328 | 0.0197 |
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+ | 10.6641 | 0.0007 | 19 | 10.4844 | 0.0444 |
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+ | 10.5078 | 0.0007 | 20 | 10.3828 | 0.0499 |
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+ | 10.3984 | 0.0008 | 21 | 10.3125 | 0.0532 |
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+ | 10.3438 | 0.0008 | 22 | 10.25 | 0.0550 |
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+ | 10.2656 | 0.0008 | 23 | 10.2031 | 0.0562 |
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+ | 10.25 | 0.0009 | 24 | 10.1641 | 0.0540 |
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+ | 10.1875 | 0.0009 | 25 | 10.1328 | 0.0470 |
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+ | 10.125 | 0.0009 | 26 | 10.1094 | 0.0461 |
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+ | 10.125 | 0.0010 | 27 | 10.0859 | 0.0480 |
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+ | 10.0938 | 0.0010 | 28 | 10.0703 | 0.0474 |
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+ | 10.0625 | 0.0011 | 29 | 10.0547 | 0.0465 |
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+ | 10.0703 | 0.0011 | 30 | 10.0391 | 0.0472 |
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+ | 10.0156 | 0.0011 | 31 | 10.0234 | 0.0515 |
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+ | 10.0859 | 0.0012 | 32 | 10.0156 | 0.0587 |
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+ | 9.9922 | 0.0012 | 33 | 10.0078 | 0.0613 |
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+ | 10.0234 | 0.0012 | 34 | 9.9922 | 0.0608 |
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+ | 9.9609 | 0.0013 | 35 | 9.9844 | 0.0600 |
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+ | 10.0391 | 0.0013 | 36 | 9.9766 | 0.0608 |
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+ | 9.9922 | 0.0013 | 37 | 9.9609 | 0.0619 |
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+ | 9.9688 | 0.0014 | 38 | 9.9531 | 0.0623 |
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+ | 9.9453 | 0.0014 | 39 | 9.9375 | 0.0622 |
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+ | 9.9609 | 0.0015 | 41 | 9.9141 | 0.0640 |
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+ | 10.0234 | 0.0015 | 42 | 9.8984 | 0.0649 |
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+ | 9.9375 | 0.0016 | 43 | 9.8906 | 0.0648 |
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+ | 9.8516 | 0.0016 | 44 | 9.875 | 0.0644 |
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+ | 8.9688 | 0.0068 | 187 | 8.9141 | 0.0917 |
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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 2.1.0a0+32f93b1
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
config.json ADDED
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+ {
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "bos_token_id": 50256,
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+ "task_specific_params": {
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+ "text-generation": {
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+ "do_sample": true,
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+ "max_length": 50
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+ }
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+ },
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+ "torch_dtype": "float16",
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+ "transformers_version": "4.41.2",
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+ "use_cache": true,
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+ "vocab_size": 50257
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+ }
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