End of training

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: llama3.18B-Fine-tuned
+ 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. -->
+
+# llama3.18B-Fine-tuned
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B) on the None dataset.
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- training_steps: 250
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.19.1

runs/Oct03_10-50-19_fa888ab44ce9/events.out.tfevents.1727952718.fa888ab44ce9.2630.0

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tokenizer.json

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 {
  "version": "1.0",
- "truncation": {
- "direction": "Right",
- "max_length": 1024,
- "strategy": "LongestFirst",
- "stride": 0
- },
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  "padding": null,
  "added_tokens": [
  {