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README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: botGPT2_org_ds_cosine
+  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. -->
+
+# botGPT2_org_ds_cosine
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.1752
+- Train Accuracy: 0.0379
+- Train Perplexity: 236.0702
+- Validation Loss: 0.1399
+- Validation Accuracy: 0.0368
+- Validation Perplexity: 372.2610
+- Epoch: 3
+
+## 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': 'AdamW', 'weight_decay': 0.004, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 5.4921643e-06, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Perplexity | Validation Loss | Validation Accuracy | Validation Perplexity | Epoch |
+|:----------:|:--------------:|:----------------:|:---------------:|:-------------------:|:---------------------:|:-----:|
+| 1.3340     | 0.0379         | 1745.3442        | 0.2794          | 0.0350              | 106.1728              | 0     |
+| 0.2532     | 0.0380         | 138.7101         | 0.1499          | 0.0374              | 397.5620              | 1     |
+| 0.1780     | 0.0379         | 232.5203         | 0.1403          | 0.0375              | 365.7160              | 2     |
+| 0.1752     | 0.0379         | 236.0702         | 0.1399          | 0.0368              | 372.2610              | 3     |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- TensorFlow 2.11.0
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

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+{
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "gradient_accumulation_steps": 16,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "learning_rate": 1e-05,
+  "lr_scheduler_type": "cosine",
+  "max_eval_steps": -1,
+  "max_train_steps": 50000,
+  "model_type": "gpt2",
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "num_warmup_steps": 2000,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "save_checkpoint_steps": 10000,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "seed": 1,
+  "seq_length": 1024,
+  "shuffle_buffer": 1000,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "train_batch_size": 1,
+  "transformers_version": "4.26.0",
+  "use_cache": true,
+  "valid_batch_size": 1,
+  "vocab_size": 50257,
+  "weight_decay": 0.1
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.26.0"
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e81a10bed5610c4e8ab9b08a26196897b2a5c5b6197908b90984ff8c9ab650e3
+size 497935440