End of training

README.md

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+---
+base_model: temporary0-0name/pretrained_model
+tags:
+- generated_from_trainer
+datasets:
+- wikitext
+model-index:
+- name: pretrained_model
+  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. -->
+
+# pretrained_model
+
+This model is a fine-tuned version of [temporary0-0name/pretrained_model](https://huggingface.co/temporary0-0name/pretrained_model) on the wikitext dataset.
+It achieves the following results on the evaluation set:
+- Loss: 6.4796
+
+## 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 7.6923        | 0.55  | 100  | 6.4796          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

runs/Nov18_14-38-39_bdcc79452b0f/events.out.tfevents.1700318325.bdcc79452b0f.5253.1

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