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  1. README.md +91 -0
  2. config.json +45 -0
  3. tf_model.h5 +3 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_keras_callback
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+ model-index:
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+ - name: distilgpt_new2_0040
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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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+ # distilgpt_new2_0040
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+
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+ This model is a fine-tuned version of [/content/drive/MyDrive/Colab Notebooks/oscar/trybackup/new_backup_008585](https://huggingface.co//content/drive/MyDrive/Colab Notebooks/oscar/trybackup/new_backup_008585) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 2.6935
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+ - Validation Loss: 2.5831
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+ - Epoch: 39
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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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+ | 2.7786 | 2.6701 | 0 |
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+ | 2.7759 | 2.6662 | 1 |
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+ | 2.7730 | 2.6642 | 2 |
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+ | 2.7704 | 2.6602 | 3 |
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+ | 2.7679 | 2.6590 | 4 |
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+ | 2.7654 | 2.6565 | 5 |
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+ | 2.7629 | 2.6538 | 6 |
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+ | 2.7604 | 2.6525 | 7 |
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+ | 2.7579 | 2.6489 | 8 |
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+ | 2.7556 | 2.6452 | 9 |
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+ | 2.7531 | 2.6454 | 10 |
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+ | 2.7505 | 2.6411 | 11 |
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+ | 2.7483 | 2.6387 | 12 |
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+ | 2.7458 | 2.6370 | 13 |
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+ | 2.7435 | 2.6365 | 14 |
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+ | 2.7412 | 2.6308 | 15 |
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+ | 2.7391 | 2.6289 | 16 |
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+ | 2.7368 | 2.6288 | 17 |
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+ | 2.7347 | 2.6257 | 18 |
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+ | 2.7325 | 2.6238 | 19 |
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+ | 2.7303 | 2.6228 | 20 |
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+ | 2.7282 | 2.6189 | 21 |
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+ | 2.7262 | 2.6170 | 22 |
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+ | 2.7240 | 2.6145 | 23 |
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+ | 2.7221 | 2.6137 | 24 |
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+ | 2.7201 | 2.6108 | 25 |
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+ | 2.7181 | 2.6082 | 26 |
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+ | 2.7161 | 2.6057 | 27 |
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+ | 2.7141 | 2.6039 | 28 |
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+ | 2.7122 | 2.6031 | 29 |
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+ | 2.7103 | 2.6018 | 30 |
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+ | 2.7083 | 2.5984 | 31 |
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+ | 2.7064 | 2.5975 | 32 |
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+ | 2.7045 | 2.5941 | 33 |
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+ | 2.7026 | 2.5945 | 34 |
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+ | 2.7008 | 2.5930 | 35 |
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+ | 2.6989 | 2.5874 | 36 |
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+ | 2.6972 | 2.5864 | 37 |
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+ | 2.6953 | 2.5858 | 38 |
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+ | 2.6935 | 2.5831 | 39 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.1
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+ - TensorFlow 2.8.2
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1
config.json ADDED
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+ {
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+ "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/oscar/trybackup/new_backup_008585",
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+ "_num_labels": 1,
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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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+ "embd_pdrop": 0.1,
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+ "eos_token_id": 50256,
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+ "id2label": {
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+ "0": "LABEL_0"
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+ },
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+ "initializer_range": 0.02,
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+ "label2id": {
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+ "LABEL_0": 0
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+ },
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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": 6,
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+ "n_positions": 1024,
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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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+ "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": "4.20.1",
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+ "use_cache": true,
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+ "vocab_size": 27672
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+ }
tf_model.h5 ADDED
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