Model save

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: engineer-heavy-500k-barc-llama3.1-8b-ins-fft-induction_lr1e-5_epoch3-1122
+  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. -->
+
+# engineer-heavy-500k-barc-llama3.1-8b-ins-fft-induction_lr1e-5_epoch3-1122
+
+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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2710
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2795        | 1.0   | 2995 | 0.2817          |
+| 0.239         | 2.0   | 5990 | 0.2710          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0
+- Datasets 3.1.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.0,
+    "total_flos": 2071185792860160.0,
+    "train_loss": 0.28316346206181436,
+    "train_runtime": 60100.1098,
+    "train_samples": 383339,
+    "train_samples_per_second": 12.757,
+    "train_steps_per_second": 0.1
+}

generation_config.json

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+{
+  "bos_token_id": 128000,
+  "do_sample": true,
+  "eos_token_id": [
+    128001,
+    128008,
+    128009
+  ],
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.45.0.dev0"
+}

train_results.json

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+{
+    "epoch": 2.0,
+    "total_flos": 2071185792860160.0,
+    "train_loss": 0.28316346206181436,
+    "train_runtime": 60100.1098,
+    "train_samples": 383339,
+    "train_samples_per_second": 12.757,
+    "train_steps_per_second": 0.1
+}