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README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: cds_word_51
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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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+ # cds_word_51
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.1628
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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: 0.0001
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+ - train_batch_size: 256
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+ - eval_batch_size: 256
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+ - seed: 51
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+ - optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 5
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 4.5865 | 1.0 | 503 | 3.5165 |
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+ | 3.3193 | 2.0 | 1006 | 3.2962 |
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+ | 3.167 | 3.0 | 1509 | 3.2231 |
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+ | 3.0865 | 4.0 | 2012 | 3.1814 |
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+ | 3.0348 | 5.0 | 2515 | 3.1628 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.56.1
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+ - Pytorch 2.8.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.22.0
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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": 1,
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+ "dtype": "float32",
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+ "embd_pdrop": 0.1,
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+ "eos_token_id": 2,
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+ "initializer_range": 0.02,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gpt2",
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+ "n_ctx": 1024,
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+ "n_embd": 768,
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+ "n_head": 12,
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+ "n_inner": null,
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+ "n_layer": 12,
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+ "n_positions": 1024,
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+ "pad_token_id": 2,
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+ "reorder_and_upcast_attn": false,
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+ "resid_pdrop": 0.1,
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+ "scale_attn_by_inverse_layer_idx": false,
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+ "scale_attn_weights": true,
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+ "summary_activation": null,
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+ "summary_first_dropout": 0.1,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ "summary_use_proj": true,
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+ "transformers_version": "4.56.1",
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+ "use_cache": true,
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+ "vocab_size": 30000
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+ }
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