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Model: rbelanec/train_mrpc_42_1776331557 Source: Original Platform
2026-05-03 10:20:24 +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_mrpc_42_1776331557
+  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_mrpc_42_1776331557
+
+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 mrpc dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1084
+- Num Input Tokens Seen: 1780000
+
+## 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: 5e-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 |
+|:-------------:|:------:|:----:|:---------------:|:-----------------:|
+| 0.1552        | 0.2518 | 104  | 0.1485          | 89600             |
+| 0.2178        | 0.5036 | 208  | 0.1320          | 178688            |
+| 0.1165        | 0.7554 | 312  | 0.1130          | 267968            |
+| 0.1193        | 1.0073 | 416  | 0.1084          | 357488            |
+| 0.0685        | 1.2591 | 520  | 0.1903          | 446896            |
+| 0.0801        | 1.5109 | 624  | 0.1982          | 536176            |
+| 0.2066        | 1.7627 | 728  | 0.1449          | 626992            |
+| 0.0011        | 2.0145 | 832  | 0.2068          | 716344            |
+| 0.0059        | 2.2663 | 936  | 0.2691          | 806712            |
+| 0.0756        | 2.5182 | 1040 | 0.2895          | 895736            |
+| 0.0001        | 2.7700 | 1144 | 0.2260          | 985592            |
+| 0.0           | 3.0218 | 1248 | 0.2253          | 1074624           |
+| 0.0           | 3.2736 | 1352 | 0.2578          | 1164544           |
+| 0.0           | 3.5254 | 1456 | 0.2580          | 1253248           |
+| 0.0           | 3.7772 | 1560 | 0.2703          | 1344000           |
+| 0.0           | 4.0291 | 1664 | 0.2502          | 1432880           |
+| 0.0001        | 4.2809 | 1768 | 0.2504          | 1522544           |
+| 0.0           | 4.5327 | 1872 | 0.2489          | 1611760           |
+| 0.0           | 4.7845 | 1976 | 0.2508          | 1702832           |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.21.4