End of training

README.md

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+---
+license: llama2
+base_model: codellama/CodeLlama-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: autofix10k
+  results: []
+library_name: peft
+---
+
+<!-- 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. -->
+
+# autofix10k
+
+This model is a fine-tuned version of [codellama/CodeLlama-7b-hf](https://huggingface.co/codellama/CodeLlama-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4372
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: QuantizationMethod.BITS_AND_BYTES
+- _load_in_8bit: True
+- _load_in_4bit: False
+- llm_int8_threshold: 6.0
+- llm_int8_skip_modules: None
+- llm_int8_enable_fp32_cpu_offload: False
+- llm_int8_has_fp16_weight: False
+- bnb_4bit_quant_type: fp4
+- bnb_4bit_use_double_quant: False
+- bnb_4bit_compute_dtype: float32
+- bnb_4bit_quant_storage: uint8
+- load_in_4bit: False
+- load_in_8bit: True
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0003
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.7922        | 0.2   | 20   | 0.5237          |
+| 0.5053        | 0.4   | 40   | 0.4857          |
+| 0.4071        | 0.6   | 60   | 0.4356          |
+| 0.4297        | 0.8   | 80   | 0.4154          |
+| 0.5313        | 1.0   | 100  | 0.3827          |
+| 0.4814        | 1.2   | 120  | 0.3785          |
+| 0.3739        | 1.4   | 140  | 0.3774          |
+| 0.3279        | 1.6   | 160  | 0.3761          |
+| 0.3149        | 1.8   | 180  | 0.3732          |
+| 0.4086        | 2.0   | 200  | 0.3658          |
+| 0.3724        | 2.2   | 220  | 0.3664          |
+| 0.3691        | 2.4   | 240  | 0.3644          |
+| 0.3065        | 2.6   | 260  | 0.3679          |
+| 0.2688        | 2.8   | 280  | 0.3767          |
+| 0.3431        | 3.0   | 300  | 0.3633          |
+| 0.333         | 3.2   | 320  | 0.3641          |
+| 0.3052        | 3.4   | 340  | 0.3597          |
+| 0.2444        | 3.6   | 360  | 0.3779          |
+| 0.2455        | 3.8   | 380  | 0.3712          |
+| 0.3078        | 4.0   | 400  | 0.3578          |
+| 0.2877        | 4.2   | 420  | 0.3650          |
+| 0.2659        | 4.4   | 440  | 0.3731          |
+| 0.2496        | 4.6   | 460  | 0.3764          |
+| 0.218         | 4.8   | 480  | 0.3781          |
+| 0.219         | 5.0   | 500  | 0.3742          |
+| 0.2119        | 5.2   | 520  | 0.3808          |
+| 0.2435        | 5.4   | 540  | 0.3871          |
+| 0.2331        | 5.6   | 560  | 0.3818          |
+| 0.1738        | 5.8   | 580  | 0.3758          |
+| 0.1772        | 6.0   | 600  | 0.3731          |
+| 0.1607        | 6.2   | 620  | 0.4121          |
+| 0.1942        | 6.4   | 640  | 0.3943          |
+| 0.2312        | 6.6   | 660  | 0.3867          |
+| 0.1528        | 6.8   | 680  | 0.4160          |
+| 0.1155        | 7.0   | 700  | 0.4100          |
+| 0.1495        | 7.2   | 720  | 0.4081          |
+| 0.1674        | 7.4   | 740  | 0.4015          |
+| 0.1849        | 7.6   | 760  | 0.4075          |
+| 0.1231        | 7.8   | 780  | 0.4238          |
+| 0.0905        | 8.0   | 800  | 0.4128          |
+| 0.1156        | 8.2   | 820  | 0.4278          |
+| 0.1628        | 8.4   | 840  | 0.4203          |
+| 0.1545        | 8.6   | 860  | 0.4219          |
+| 0.1236        | 8.8   | 880  | 0.4294          |
+| 0.0799        | 9.0   | 900  | 0.4224          |
+| 0.0991        | 9.2   | 920  | 0.4399          |
+| 0.1176        | 9.4   | 940  | 0.4350          |
+| 0.1711        | 9.6   | 960  | 0.4362          |
+| 0.1106        | 9.8   | 980  | 0.4414          |
+| 0.0582        | 10.0  | 1000 | 0.4372          |
+
+
+### Framework versions
+
+- PEFT 0.4.0
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.safetensors

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+oid sha256:e44ce263e6fd885f50d82ca515b9325375b43ee36ededb75acf161ce88bc2e41
+size 48

training_args.bin

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