Di1 commited on
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7996542
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Training in progress epoch 0

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: Di1/distilgpt2-finetuned-aws2
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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 Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # Di1/distilgpt2-finetuned-aws2
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+
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+ This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 3.8500
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+ - Validation Loss: 3.3719
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+ - Epoch: 0
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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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+ - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
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+ - training_precision: float32
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+
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+ ### Training results
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+
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+ | Train Loss | Validation Loss | Epoch |
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+ |:----------:|:---------------:|:-----:|
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+ | 3.8500 | 3.3719 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.29.2
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+ - TensorFlow 2.12.0
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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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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+ },
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+ "layer_norm_epsilon": 1e-05,
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+ "scale_attn_weights": true,
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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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+ "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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+ "transformers_version": "4.29.2",
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+ "vocab_size": 50257
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+ }
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