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Model: rbelanec/train_qnli_42_1779207272 Source: Original Platform
2026-06-11 01:10:36 +08:00
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+---
+library_name: transformers
+license: llama3.2
+base_model: meta-llama/Llama-3.2-1B-Instruct
+tags:
+- peft-factory
+- full
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: train_qnli_42_1779207272
+  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. -->
+
+# train_qnli_42_1779207272
+
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the qnli dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0535
+- Num Input Tokens Seen: 56574368
+
+## 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: 2e-06
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Input Tokens Seen |
+|:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
+| 0.0827        | 0.25  | 2946  | 0.0783          | 2823680           |
+| 0.0452        | 0.5   | 5892  | 0.0612          | 5652800           |
+| 0.0473        | 0.75  | 8838  | 0.0545          | 8482944           |
+| 0.0346        | 1.0   | 11784 | 0.0535          | 11312256          |
+| 0.0299        | 1.25  | 14730 | 0.0764          | 14142784          |
+| 0.0363        | 1.5   | 17676 | 0.0833          | 16969472          |
+| 0.0084        | 1.75  | 20622 | 0.0826          | 19782400          |
+| 0.0205        | 2.0   | 23568 | 0.0846          | 22629440          |
+| 0.0001        | 2.25  | 26514 | 0.1074          | 25460032          |
+| 0.0001        | 2.5   | 29460 | 0.1115          | 28284608          |
+| 0.0001        | 2.75  | 32406 | 0.1112          | 31130432          |
+| 0.023         | 3.0   | 35352 | 0.1149          | 33947392          |
+| 0.0258        | 3.25  | 38298 | 0.1494          | 36783040          |
+| 0.0           | 3.5   | 41244 | 0.1557          | 39604544          |
+| 0.0           | 3.75  | 44190 | 0.1553          | 42421440          |
+| 0.0           | 4.0   | 47136 | 0.1462          | 45265344          |
+| 0.0           | 4.25  | 50082 | 0.1777          | 48098944          |
+| 0.0           | 4.5   | 53028 | 0.1760          | 50906176          |
+| 0.0           | 4.75  | 55974 | 0.1753          | 53746240          |
+| 0.0           | 5.0   | 58920 | 0.1754          | 56574368          |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4