Model save

README.md

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+---
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+library_name: peft
+license: llama3.1
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: barc-llama3.1-8b-instruct-lora64-induction-gpt4mini100k_lr2e-4_epoch3
+  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. -->
+
+# barc-llama3.1-8b-instruct-lora64-induction-gpt4mini100k_lr2e-4_epoch3
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3031
+
+## 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: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.323         | 1.0   | 758  | 0.3202          |
+| 0.2892        | 2.0   | 1516 | 0.3058          |
+| 0.274         | 3.0   | 2274 | 0.3031          |
+
+
+### Framework versions
+
+- PEFT 0.13.0
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 8.121740457714647e+17,
+    "train_loss": 0.32005984397079196,
+    "train_runtime": 25010.8841,
+    "train_samples": 96980,
+    "train_samples_per_second": 11.633,
+    "train_steps_per_second": 0.091
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 8.121740457714647e+17,
+    "train_loss": 0.32005984397079196,
+    "train_runtime": 25010.8841,
+    "train_samples": 96980,
+    "train_samples_per_second": 11.633,
+    "train_steps_per_second": 0.091
+}