Model save

README.md

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+---
+license: other
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: meta-llama/Meta-Llama-3-8B
+model-index:
+- name: llama3-poison-50p
+  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-poison-50p
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2167
+
+## 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: 8
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7346        | 1.0   | 3248 | 1.2167          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2

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all_results.json

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+{
+    "epoch": 1.0,
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+    "train_runtime": 38581.5438,
+    "train_samples": 51965,
+    "train_samples_per_second": 1.347,
+    "train_steps_per_second": 0.084
+}

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train_results.json

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+{
+    "epoch": 1.0,
+    "train_loss": 0.6257000189696627,
+    "train_runtime": 38581.5438,
+    "train_samples": 51965,
+    "train_samples_per_second": 1.347,
+    "train_steps_per_second": 0.084
+}