End of training

README.md

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+---
+library_name: peft
+base_model: roneneldan/TinyStories-1M
+tags:
+- generated_from_trainer
+model-index:
+- name: test_1M_1-2025-02-13-15-50
+  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. -->
+
+# test_1M_1-2025-02-13-15-50
+
+This model is a fine-tuned version of [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.5431
+
+## 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: 0.00025
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.6705        | 0.5   | 297  | 2.6984          |
+| 2.7362        | 1.0   | 594  | 2.6554          |
+| 2.5629        | 1.5   | 891  | 2.6282          |
+| 2.622         | 2.0   | 1188 | 2.6091          |
+| 2.4323        | 2.5   | 1485 | 2.5974          |
+| 2.5056        | 3.0   | 1782 | 2.5897          |
+| 2.5114        | 3.5   | 2079 | 2.5751          |
+| 2.3924        | 4.0   | 2376 | 2.5682          |
+| 2.3936        | 4.5   | 2673 | 2.5599          |
+| 2.4799        | 5.0   | 2970 | 2.5531          |
+| 2.4264        | 5.5   | 3267 | 2.5469          |
+| 2.429         | 6.0   | 3564 | 2.5431          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.48.1
+- Pytorch 2.5.1+cu124
+- 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": "roneneldan/TinyStories-1M",
+  "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": 64,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "wte"
+  ],
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "o_proj",
+    "down_proj",
+    "k_proj",
+    "q_proj",
+    "gate_proj",
+    "v_proj",
+    "up_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": true
+}

adapter_model.safetensors

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added_tokens.json

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special_tokens_map.json

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+}

tokenizer_config.json

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training_args.bin

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