Model save

README.md

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+---
+license: mit
+base_model: gpt2-xl
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: lmind_hotpot_train500_eval300_v1_recite_qa_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_hotpot_train500_eval300_v1_recite_qa_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: 0.4065
+- Accuracy: 0.7412
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.0739        | 0.5   | 66   | 1.8405          | 0.6206   |
+| 1.8806        | 1.01  | 132  | 1.5749          | 0.6365   |
+| 1.3619        | 1.51  | 198  | 1.3425          | 0.6533   |
+| 1.283         | 2.02  | 264  | 1.1253          | 0.6685   |
+| 0.8433        | 2.52  | 330  | 0.9735          | 0.6825   |
+| 0.7629        | 3.02  | 396  | 0.7874          | 0.6982   |
+| 0.5058        | 3.53  | 462  | 0.6921          | 0.7086   |
+| 0.4593        | 4.03  | 528  | 0.5641          | 0.7197   |
+| 0.3064        | 4.53  | 594  | 0.5348          | 0.7245   |
+| 0.2967        | 5.04  | 660  | 0.4770          | 0.7304   |
+| 0.2167        | 5.54  | 726  | 0.4582          | 0.7324   |
+| 0.2157        | 6.05  | 792  | 0.4308          | 0.7358   |
+| 0.1597        | 6.55  | 858  | 0.4301          | 0.7373   |
+| 0.1481        | 7.05  | 924  | 0.4224          | 0.7385   |
+| 0.1293        | 7.56  | 990  | 0.4125          | 0.7394   |
+| 0.125         | 8.06  | 1056 | 0.4122          | 0.7400   |
+| 0.1139        | 8.56  | 1122 | 0.4069          | 0.7407   |
+| 0.1141        | 9.07  | 1188 | 0.4082          | 0.7409   |
+| 0.0994        | 9.57  | 1254 | 0.4065          | 0.7412   |
+
+
+### 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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