End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilgpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: distilgpt2-finetuned-wellness
+  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. -->
+
+# distilgpt2-finetuned-wellness
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.7698
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 3.4055        | 0.9927  | 102  | 2.8632          |
+| 2.6839        | 1.9951  | 205  | 2.3235          |
+| 2.3467        | 2.9976  | 308  | 2.1428          |
+| 2.1832        | 4.0     | 411  | 2.0383          |
+| 2.0576        | 4.9927  | 513  | 1.9659          |
+| 1.9634        | 5.9951  | 616  | 1.9195          |
+| 1.8834        | 6.9976  | 719  | 1.8783          |
+| 1.8251        | 8.0     | 822  | 1.8546          |
+| 1.7861        | 8.9927  | 924  | 1.8331          |
+| 1.7299        | 9.9951  | 1027 | 1.8186          |
+| 1.6952        | 10.9976 | 1130 | 1.8070          |
+| 1.673         | 12.0    | 1233 | 1.7945          |
+| 1.6387        | 12.9927 | 1335 | 1.7904          |
+| 1.6138        | 13.9951 | 1438 | 1.7845          |
+| 1.6028        | 14.9976 | 1541 | 1.7793          |
+| 1.5778        | 16.0    | 1644 | 1.7761          |
+| 1.5668        | 16.9927 | 1746 | 1.7727          |
+| 1.5534        | 17.9951 | 1849 | 1.7719          |
+| 1.5557        | 18.9976 | 1952 | 1.7711          |
+| 1.5438        | 19.8540 | 2040 | 1.7698          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.1+cu124
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.45.1"
+}

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training_args.bin

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