add model

README.md

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+---
+tags:
+- generated_from_keras_callback
+model-index:
+- name: distilgpt_new5_0020
+  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. -->
+
+# distilgpt_new5_0020
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 2.4736
+- Validation Loss: 2.3530
+- Epoch: 19
+
+## 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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Epoch |
+|:----------:|:---------------:|:-----:|
+| 2.4839     | 2.3639          | 0     |
+| 2.4833     | 2.3630          | 1     |
+| 2.4827     | 2.3620          | 2     |
+| 2.4821     | 2.3632          | 3     |
+| 2.4816     | 2.3617          | 4     |
+| 2.4811     | 2.3614          | 5     |
+| 2.4805     | 2.3613          | 6     |
+| 2.4799     | 2.3613          | 7     |
+| 2.4794     | 2.3600          | 8     |
+| 2.4788     | 2.3589          | 9     |
+| 2.4784     | 2.3582          | 10    |
+| 2.4779     | 2.3563          | 11    |
+| 2.4774     | 2.3579          | 12    |
+| 2.4768     | 2.3563          | 13    |
+| 2.4762     | 2.3561          | 14    |
+| 2.4756     | 2.3554          | 15    |
+| 2.4751     | 2.3539          | 16    |
+| 2.4746     | 2.3550          | 17    |
+| 2.4741     | 2.3534          | 18    |
+| 2.4736     | 2.3530          | 19    |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- TensorFlow 2.8.2
+- Datasets 2.4.0
+- Tokenizers 0.12.1

config.json

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+{
+  "_name_or_path": "/content/drive/MyDrive/Colab Notebooks/oscar/trybackup/new_backup4_00055",
+  "_num_labels": 1,
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 6,
+  "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": "4.20.1",
+  "use_cache": true,
+  "vocab_size": 27672
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:840df181f093836eddfa3a0330bb46389ad0b257ec771573efa73d78551982a4
+size 258364376