End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: mistralai/Mistral-7B-v0.3
+tags:
+- base_model:adapter:mistralai/Mistral-7B-v0.3
+- lora
+- transformers
+model-index:
+- name: Mistral_StereoDetect_Model
+  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_StereoDetect_Model
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3143
+- Pearson: 0.9660
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 8
+- seed: 42
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearson |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| No log        | 1.0   | 190  | 0.2906          | 0.9143  |
+| No log        | 2.0   | 380  | 0.2797          | 0.9360  |
+| 0.4128        | 3.0   | 570  | 0.2969          | 0.9513  |
+| 0.4128        | 4.0   | 760  | 0.3159          | 0.9646  |
+| 0.4128        | 5.0   | 950  | 0.3143          | 0.9660  |
+
+
+### Framework versions
+
+- PEFT 0.17.1
+- Transformers 4.56.0
+- Pytorch 2.4.0a0+f70bd71a48.nv24.06
+- Datasets 4.0.0
+- Tokenizers 0.22.0

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.3",
+  "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": 16,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": [
+    "classifier",
+    "score"
+  ],
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "k_proj",
+    "v_proj",
+    "o_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "SEQ_CLS",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Sep04_16-41-30_d83b7515d8bb/events.out.tfevents.1757004091.d83b7515d8bb.8587.0

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special_tokens_map.json

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+    "content": "<s>",
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+    "single_word": false
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+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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training_args.bin

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