Model save

README.md

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+---
+base_model: mistralai/Mistral-7B-v0.3
+datasets:
+- generator
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: mistral_7b_0_3-coding-gpt4o-100k2
+  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. -->
+
+# mistral_7b_0_3-coding-gpt4o-100k2
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1573
+
+## 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: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 2
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.419         | 0.9992 | 640  | 1.0503          |
+| 0.3829        | 2.0    | 1281 | 1.0418          |
+| 0.3774        | 2.9992 | 1921 | 1.0361          |
+| 0.355         | 4.0    | 2562 | 1.0419          |
+| 0.3413        | 4.9992 | 3202 | 1.0548          |
+| 0.318         | 6.0    | 3843 | 1.0761          |
+| 0.3056        | 6.9992 | 4483 | 1.1023          |
+| 0.2857        | 8.0    | 5124 | 1.1256          |
+| 0.2732        | 8.9992 | 5764 | 1.1472          |
+| 0.2714        | 9.9922 | 6400 | 1.1573          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.0
+- Pytorch 2.4.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 9.992193598750976,
+    "total_flos": 8.968401612833817e+18,
+    "train_loss": 0.34100163986906407,
+    "train_runtime": 19497.7947,
+    "train_samples": 116368,
+    "train_samples_per_second": 10.509,
+    "train_steps_per_second": 0.328
+}

train_results.json

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+{
+    "epoch": 9.992193598750976,
+    "total_flos": 8.968401612833817e+18,
+    "train_loss": 0.34100163986906407,
+    "train_runtime": 19497.7947,
+    "train_samples": 116368,
+    "train_samples_per_second": 10.509,
+    "train_steps_per_second": 0.328
+}