End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: Qwen/Qwen2.5-1.5B-Instruct
+tags:
+- generated_from_trainer
+model-index:
+- name: Qwen2.5-1.5B-Instruct-finetune-ru-news-lora
+  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. -->
+
+# Qwen2.5-1.5B-Instruct-finetune-ru-news-lora
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-Instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5295
+- Perplexity: 4.6645
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 111
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 16
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Perplexity |
+|:-------------:|:-------:|:----:|:---------------:|:----------:|
+| No log        | 0       | 0    | 1.7086          | 5.5805     |
+| 1.5638        | 1.0     | 75   | 1.6235          | 5.1242     |
+| 1.6127        | 2.0     | 150  | 1.5856          | 4.9323     |
+| 1.6656        | 3.0     | 225  | 1.5689          | 4.8497     |
+| 1.6207        | 4.0     | 300  | 1.5578          | 4.7967     |
+| 1.5559        | 5.0     | 375  | 1.5510          | 4.7642     |
+| 1.5766        | 6.0     | 450  | 1.5463          | 4.7420     |
+| 1.5744        | 7.0     | 525  | 1.5428          | 4.7257     |
+| 1.5892        | 8.0     | 600  | 1.5401          | 4.7129     |
+| 1.4133        | 9.0     | 675  | 1.5378          | 4.7022     |
+| 1.6007        | 10.0    | 750  | 1.5360          | 4.6939     |
+| 1.6776        | 11.0    | 825  | 1.5345          | 4.6872     |
+| 1.4363        | 12.0    | 900  | 1.5332          | 4.6814     |
+| 1.3633        | 13.0    | 975  | 1.5323          | 4.6771     |
+| 1.4944        | 14.0    | 1050 | 1.5314          | 4.6730     |
+| 1.4514        | 15.0    | 1125 | 1.5308          | 4.6703     |
+| 1.4892        | 16.0    | 1200 | 1.5303          | 4.6681     |
+| 1.3994        | 17.0    | 1275 | 1.5299          | 4.6664     |
+| 1.507         | 18.0    | 1350 | 1.5296          | 4.6651     |
+| 1.4906        | 19.0    | 1425 | 1.5295          | 4.6645     |
+| 1.4982        | 19.7383 | 1480 | 1.5295          | 4.6645     |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
+  "bias": "none",
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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training_args.bin

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