Model save

README.md

@@ -0,0 +1,67 @@
+---
+library_name: peft
+license: apache-2.0
+base_model: ministral/Ministral-3b-instruct
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ministral-3b-instruct-mimic4-adapt
+  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. -->
+
+# ministral-3b-instruct-mimic4-adapt
+
+This model is a fine-tuned version of [ministral/Ministral-3b-instruct](https://huggingface.co/ministral/Ministral-3b-instruct) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6892
+- Model Preparation Time: 0.0125
+- Accuracy: 0.5202
+- Perplexity: 14.7202
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- 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: 1
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Model Preparation Time | Accuracy | Perplexity |
+|:-------------:|:------:|:-----:|:---------------:|:----------------------:|:--------:|:----------:|
+| 2.8172        | 1.0000 | 30564 | 2.6892          | 0.0125                 | 0.5202   | 14.7202    |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.49.0
+- Pytorch 2.6.0
+- Datasets 3.6.0
+- Tokenizers 0.21.1

adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "ministral/Ministral-3b-instruct",
+  "bias": "none",
+  "corda_config": null,
+  "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": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c88f9cc9a98b2977689f1c3a7463ad238e06eb2303ad3bd4e8df78b8e8c5f941
+size 11935008

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:33c132f516d11637882cd935e90238237d00ed8e00f75f31b5c9c8639b8bf23f
+size 5432