Model save

README.md

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+---
+base_model: mistralai/Mistral-7B-Instruct-v0.1
+library_name: peft
+license: apache-2.0
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: mistral_gsm8k_per_class_reflect_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. -->
+
+# mistral_gsm8k_per_class_reflect_lora
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.1](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6076
+
+## 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: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- 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
+- training_steps: 20
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.9638        | 0.7692 | 5    | 0.7346          |
+| 0.6247        | 1.5385 | 10   | 0.6349          |
+| 0.5318        | 2.3077 | 15   | 0.6109          |
+| 0.4704        | 3.0769 | 20   | 0.6076          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

all_results.json

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+{
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+    "train_loss": 0.6513590574264526,
+    "train_runtime": 83.5417,
+    "train_samples": 100,
+    "train_samples_per_second": 3.83,
+    "train_steps_per_second": 0.239
+}

train_results.json

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+{
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+    "total_flos": 2502654197760.0,
+    "train_loss": 0.6513590574264526,
+    "train_runtime": 83.5417,
+    "train_samples": 100,
+    "train_samples_per_second": 3.83,
+    "train_steps_per_second": 0.239
+}

trainer_state.json

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+  "best_model_checkpoint": null,
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+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
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+  "logging_steps": 5,
+  "max_steps": 20,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 4,
+  "save_steps": 1000,
+  "stateful_callbacks": {
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+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
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+      "attributes": {}
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+  "trial_name": null,
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+}