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README.md

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+---
+license: mit
+tags:
+- generated_from_keras_callback
+model-index:
+- name: botGPT2Modelorg_ds
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# botGPT2Modelorg_ds
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: nan
+- Train Accuracy: 0.0000
+- Train Perplexity: 272501.7812
+- Validation Loss: 0.4107
+- Validation Accuracy: 0.0000
+- Validation Perplexity: 217620.5938
+- Epoch: 2
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 19415, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 500, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Perplexity | Validation Loss | Validation Accuracy | Validation Perplexity | Epoch |
+|:----------:|:--------------:|:----------------:|:---------------:|:-------------------:|:---------------------:|:-----:|
+| nan        | 0.0022         | 413528.5625      | 0.4107          | 0.0000              | 217620.5938           | 0     |
+| nan        | 0.0000         | 252091.4531      | 0.4107          | 0.0000              | 217620.5938           | 1     |
+| nan        | 0.0000         | 272501.7812      | 0.4107          | 0.0000              | 217620.5938           | 2     |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- TensorFlow 2.11.0
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 0,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 0,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "transformers_version": "4.26.0",
+  "use_cache": true,
+  "vocab_size": 1833
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "eos_token_id": 0,
+  "transformers_version": "4.26.0"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a8cd91848df1e84db854edbccd26538f5b0e8a9182a3d49391fe15409d53f7b0
+size 349176912