Model save

README.md

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+---
+library_name: transformers
+license: llama3.1
+base_model: meta-llama/Llama-3.1-8B-Instruct
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: QA-Llama-3.1-4155
+  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. -->
+
+# QA-Llama-3.1-4155
+
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0781
+- Accuracy: 0.6965
+- Macro F1: 0.6444
+- Macro Precision: 0.7361
+- Macro Recall: 0.5968
+- Micro F1: 0.7539
+- Micro Precision: 0.8035
+- Micro Recall: 0.7100
+- Flagged/accuracy: 0.8561
+- Flagged/precision: 0.9050
+- Flagged/recall: 0.8284
+- Flagged/f1: 0.8650
+
+## 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: 2.8362564501611134e-07
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 128
+- 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 | Accuracy | Macro F1 | Macro Precision | Macro Recall | Micro F1 | Micro Precision | Micro Recall | Flagged/accuracy | Flagged/precision | Flagged/recall | Flagged/f1 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:---------------:|:------------:|:--------:|:---------------:|:------------:|:----------------:|:-----------------:|:--------------:|:----------:|
+| 0.0688        | 1.0   | 8454  | 0.0799          | 0.6891   | 0.6367   | 0.7276          | 0.5931       | 0.7464   | 0.8015          | 0.6984       | 0.8491           | 0.8948            | 0.8260         | 0.8590     |
+| 0.0745        | 2.0   | 16908 | 0.0777          | 0.6956   | 0.6295   | 0.7647          | 0.5680       | 0.7503   | 0.8171          | 0.6935       | 0.8532           | 0.9108            | 0.8160         | 0.8608     |
+| 0.06          | 3.0   | 25362 | 0.0781          | 0.6965   | 0.6444   | 0.7361          | 0.5968       | 0.7539   | 0.8035          | 0.7100       | 0.8561           | 0.9050            | 0.8284         | 0.8650     |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.7.0+cu118
+- Datasets 3.5.1
+- Tokenizers 0.21.1

metadata.json

@@ -1,4 +1,4 @@
 {
-  "steps_completed": 16908,
+  "steps_completed": 25362,
   "trial_id": 4155
 }