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README.md

@@ -0,0 +1,71 @@
+---
+library_name: transformers
+base_model: RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ruadapt_qwen2.5_3B_ext_u48_full_lr3e4_bs256
+  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. -->
+
+# ruadapt_qwen2.5_3B_ext_u48_full_lr3e4_bs256
+
+This model is a fine-tuned version of [RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init](https://huggingface.co/RefalMachine/ruadapt_qwen2.5_3B_ext_u48_mean_init) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4832
+- Accuracy: 0.4983
+
+## 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: 0.0003
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 64
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 256
+- total_eval_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|
+| No log        | 0.0001 | 1     | 5.8817          | 0.3107   |
+| 2.6497        | 0.1765 | 2000  | 2.5180          | 0.4939   |
+| 2.6174        | 0.3531 | 4000  | 2.4940          | 0.4966   |
+| 2.5972        | 0.5296 | 6000  | 2.4866          | 0.4977   |
+| 2.6022        | 0.7062 | 8000  | 2.4836          | 0.4982   |
+| 2.5999        | 0.8827 | 10000 | 2.4831          | 0.4983   |
+
+
+### Framework versions
+
+- Transformers 4.45.2
+- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
+- Datasets 2.18.0
+- Tokenizers 0.20.1

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all_results.json

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