Training in progress epoch 0

README.md

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+---
+license: mit
+tags:
+- generated_from_keras_callback
+model-index:
+- name: Ashraf-kasem/custom_gpt2_frames_text_continue
+  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. -->
+
+# Ashraf-kasem/custom_gpt2_frames_text_continue
+
+This model is a fine-tuned version of [Ashraf-kasem/custom_gpt2_frames_text](https://huggingface.co/Ashraf-kasem/custom_gpt2_frames_text) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 1.4198
+- Validation Loss: 2.1045
+- Epoch: 0
+
+## 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': 'Adam', 'learning_rate': {'class_name': 'LinearWarmup', 'config': {'after_warmup_lr_sched': {'initial_learning_rate': 5e-05, 'decay_steps': 188670, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'warmup_steps': 18867, 'warmup_learning_rate': 0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: mixed_float16
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 1.4198     | 2.1045          | 0     |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- TensorFlow 2.9.0
+- Datasets 2.8.0
+- Tokenizers 0.13.2

checkpoint/extra_data.pickle

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config.json

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+{
+  "_name_or_path": "Ashraf-kasem/custom_gpt2_frames_text",
+  "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": 128,
+  "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": "4.25.1",
+  "use_cache": true,
+  "vocab_size": 10000
+}

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special_tokens_map.json

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+  "bos_token": "<EOS>",
+  "eos_token": "<EOS>",
+  "pad_token": "<EOS>"
+}

tf_model.h5

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tokenizer_config.json

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+{
+  "bos_token": "<EOS>",
+  "eos_token": "<EOS>",
+  "model_max_length": 1000000000000000019884624838656,
+  "name_or_path": "Ashraf-kasem/custom_gpt2_frames_text",
+  "special_tokens_map_file": "frames_text_cleaned_dataset_tokenizer/special_tokens_map.json",
+  "tokenizer_class": "PreTrainedTokenizerFast"
+}