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README.md

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+---
+license: mit
+tags:
+- generated_from_keras_callback
+model-index:
+- name: gpt_image_clef1
+  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. -->
+
+# gpt_image_clef1
+
+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: 1.1002
+- Train Rouge: 0.4943
+- Validation Loss: 0.9385
+- Validation Rouge: 0.4581
+- Epoch: 8
+
+## 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': 0.0005, 'decay_schedule_fn': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 0.0005, 'decay_steps': 2554800, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, '__passive_serialization__': True}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.99, 'epsilon': 0.2, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Rouge | Validation Loss | Validation Rouge | Epoch |
+|:----------:|:-----------:|:---------------:|:----------------:|:-----:|
+| 1.5411     | 0.4201      | 1.0250          | 0.4297           | 0     |
+| 1.1803     | 0.4674      | 0.9795          | 0.4437           | 1     |
+| 1.1391     | 0.4801      | 0.9588          | 0.4523           | 2     |
+| 1.1168     | 0.4869      | 0.9395          | 0.4590           | 3     |
+| 1.1038     | 0.4912      | 0.9318          | 0.4613           | 4     |
+| 1.0971     | 0.4934      | 0.9305          | 0.4611           | 5     |
+| 1.0949     | 0.4945      | 0.9287          | 0.4621           | 6     |
+| 1.0965     | 0.4948      | 0.9313          | 0.4605           | 7     |
+| 1.1002     | 0.4943      | 0.9385          | 0.4581           | 8     |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- TensorFlow 2.10.1
+- Datasets 2.11.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50257,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50258,
+  "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,
+  "pad_token_id": 50260,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "sep_token_id": 50261,
+  "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": "4.28.1",
+  "use_cache": true,
+  "vocab_size": 50262
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50257,
+  "eos_token_id": 50258,
+  "pad_token_id": 50260,
+  "transformers_version": "4.28.1"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6cf6b2f290c6d7397403041ee6400a0a8495467cacb003ab89d3d61127d30461
+size 652359320