End of training

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+datasets:
+- wiki_qa
+model-index:
+- name: output
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# output
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the wiki_qa dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8781
+
+## 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:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9106        | 0.08  | 200  | 0.7699          |
+| 0.9505        | 0.16  | 400  | 0.6965          |
+| 0.8446        | 0.24  | 600  | 0.7000          |
+| 0.8765        | 0.31  | 800  | 0.6573          |
+| 0.7792        | 0.39  | 1000 | 0.7359          |
+| 0.9293        | 0.47  | 1200 | 0.6926          |
+| 0.9715        | 0.55  | 1400 | 0.7032          |
+| 0.8898        | 0.63  | 1600 | 0.7208          |
+| 1.0288        | 0.71  | 1800 | 0.6954          |
+| 0.7782        | 0.79  | 2000 | 0.6629          |
+| 0.9419        | 0.86  | 2200 | 0.7061          |
+| 0.7138        | 0.94  | 2400 | 0.7086          |
+| 0.9334        | 1.02  | 2600 | 0.6752          |
+| 0.9274        | 1.1   | 2800 | 0.7142          |
+| 0.7217        | 1.18  | 3000 | 0.7227          |
+| 0.74          | 1.26  | 3200 | 0.6896          |
+| 0.9408        | 1.34  | 3400 | 0.7039          |
+| 0.8503        | 1.41  | 3600 | 0.7456          |
+| 0.8816        | 1.49  | 3800 | 0.7226          |
+| 0.7751        | 1.57  | 4000 | 0.7182          |
+| 0.8669        | 1.65  | 4200 | 0.6904          |
+| 1.059         | 1.73  | 4400 | 0.7131          |
+| 0.8442        | 1.81  | 4600 | 0.7063          |
+| 0.9162        | 1.89  | 4800 | 0.7128          |
+| 0.9022        | 1.96  | 5000 | 0.7249          |
+| 0.9427        | 2.04  | 5200 | 0.7333          |
+| 0.9122        | 2.12  | 5400 | 0.6852          |
+| 0.8159        | 2.2   | 5600 | 0.6950          |
+| 0.9489        | 2.28  | 5800 | 0.7137          |
+| 0.9976        | 2.36  | 6000 | 0.7101          |
+| 0.9305        | 2.44  | 6200 | 0.7059          |
+| 0.6405        | 2.51  | 6400 | 0.7167          |
+| 0.9515        | 2.59  | 6600 | 0.6875          |
+| 0.7186        | 2.67  | 6800 | 0.7057          |
+| 0.9221        | 2.75  | 7000 | 0.6805          |
+| 0.9118        | 2.83  | 7200 | 0.7011          |
+| 0.9784        | 2.91  | 7400 | 0.6936          |
+| 0.7532        | 2.99  | 7600 | 0.7046          |
+
+
+### Framework versions
+
+- Transformers 4.33.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.13.3

config.json

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+{
+  "_name_or_path": "gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2ForSequenceClassification"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "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": 50256,
+  "problem_type": "single_label_classification",
+  "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
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.33.0",
+  "use_cache": true,
+  "vocab_size": 50257
+}

pytorch_model.bin

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training_args.bin

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