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Model: rovdetection/code-1b-chat-v2
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: rovdetection/code-1b-pretrain-v3
+tags:
+- generated_from_trainer
+model-index:
+- name: code-1b-chat-v2
+  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. -->
+
+# code-1b-chat-v2
+
+This model is a fine-tuned version of [rovdetection/code-1b-pretrain-v3](https://huggingface.co/rovdetection/code-1b-pretrain-v3) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9919
+
+## 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-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 32
+- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0509        | 0.8840 | 500  | 1.0258          |
+| 0.6652        | 1.7673 | 1000 | 0.9919          |
+
+
+### Framework versions
+
+- Transformers 5.9.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.8.5
+- Tokenizers 0.22.2