Model save

README.md

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+---
+license: mit
+base_model: gpt2-xl
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: lmind_nq_train600_eval300_v1_docidx_gpt2-xl
+  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. -->
+
+# lmind_nq_train600_eval300_v1_docidx_gpt2-xl
+
+This model is a fine-tuned version of [gpt2-xl](https://huggingface.co/gpt2-xl) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3697
+- Accuracy: 0.8462
+
+## 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: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.4931        | 0.5   | 28   | 2.3904          | 0.5749   |
+| 2.4699        | 1.0   | 56   | 2.1014          | 0.6050   |
+| 1.9006        | 1.5   | 84   | 1.8079          | 0.6393   |
+| 1.9317        | 2.0   | 112  | 1.5510          | 0.6722   |
+| 1.3984        | 2.5   | 140  | 1.2850          | 0.7075   |
+| 1.3662        | 3.0   | 168  | 1.0900          | 0.7374   |
+| 0.9041        | 3.5   | 196  | 0.8909          | 0.7670   |
+| 0.9056        | 4.0   | 224  | 0.7502          | 0.7903   |
+| 0.6131        | 4.5   | 252  | 0.6304          | 0.8067   |
+| 0.6101        | 5.0   | 280  | 0.5429          | 0.8215   |
+| 0.3772        | 5.5   | 308  | 0.4872          | 0.8287   |
+| 0.4265        | 6.0   | 336  | 0.4437          | 0.8357   |
+| 0.2552        | 6.5   | 364  | 0.4226          | 0.8389   |
+| 0.2875        | 7.0   | 392  | 0.4019          | 0.8418   |
+| 0.1874        | 7.5   | 420  | 0.3965          | 0.8430   |
+| 0.1958        | 8.0   | 448  | 0.3812          | 0.8441   |
+| 0.1443        | 8.5   | 476  | 0.3852          | 0.8450   |
+| 0.1535        | 9.0   | 504  | 0.3791          | 0.8456   |
+| 0.1236        | 9.5   | 532  | 0.3849          | 0.8456   |
+| 0.1221        | 10.0  | 560  | 0.3697          | 0.8462   |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.14.5
+- Tokenizers 0.14.1

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "do_sample": true,
+  "eos_token_id": 50256,
+  "max_length": 50,
+  "transformers_version": "4.34.0"
+}

pytorch_model.bin

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