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: l3.1-8b-inst-fft-induction-barc-heavy-200k-lr1e-5-ep2
+  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. -->
+
+# l3.1-8b-inst-fft-induction-barc-heavy-200k-lr1e-5-ep2
+
+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: 0.3992
+
+## 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: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.4824        | 1.0   | 1478 | 0.4727          |
+| 0.3638        | 2.0   | 2956 | 0.4042          |
+| 0.2835        | 3.0   | 4434 | 0.3992          |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1.6090113089910866e+18,
+    "train_loss": 0.69218219782406,
+    "train_runtime": 92434.0859,
+    "train_samples": 189121,
+    "train_samples_per_second": 6.138,
+    "train_steps_per_second": 0.048
+}

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": "4.46.2"
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 1.6090113089910866e+18,
+    "train_loss": 0.69218219782406,
+    "train_runtime": 92434.0859,
+    "train_samples": 189121,
+    "train_samples_per_second": 6.138,
+    "train_steps_per_second": 0.048
+}