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: cot-400k-barc-llama3.1-8b-ins-fft-transduction_lr1e-5_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. -->
+
+# cot-400k-barc-llama3.1-8b-ins-fft-transduction_lr1e-5_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 the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2160
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- 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 |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.2231        | 0.9998 | 2994 | 0.2183          |
+| 0.1861        | 2.0    | 5989 | 0.2049          |
+| 0.1483        | 2.9995 | 8982 | 0.2160          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 2.999499081649691,
+    "total_flos": 2.8091411711025807e+18,
+    "train_loss": 0.2020581066641609,
+    "train_runtime": 42907.438,
+    "train_samples": 383259,
+    "train_samples_per_second": 26.797,
+    "train_steps_per_second": 0.209
+}

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": 2.999499081649691,
+    "total_flos": 2.8091411711025807e+18,
+    "train_loss": 0.2020581066641609,
+    "train_runtime": 42907.438,
+    "train_samples": 383259,
+    "train_samples_per_second": 26.797,
+    "train_steps_per_second": 0.209
+}