adiyghub/mistral_7b_openorca_small_qlora_finetuned

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: results
+  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. -->
+
+# results
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3820
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6764        | 0.25  | 50   | 1.5037          |
+| 1.3936        | 0.5   | 100  | 1.4108          |
+| 1.4016        | 0.75  | 150  | 1.3547          |
+| 1.3152        | 1.0   | 200  | 1.3373          |
+| 1.0919        | 1.25  | 250  | 1.3368          |
+| 1.1336        | 1.5   | 300  | 1.3290          |
+| 1.0541        | 1.75  | 350  | 1.3222          |
+| 1.0844        | 2.0   | 400  | 1.3174          |
+| 0.8657        | 2.25  | 450  | 1.3790          |
+| 0.8606        | 2.5   | 500  | 1.3779          |
+| 0.8483        | 2.75  | 550  | 1.3824          |
+| 0.8258        | 3.0   | 600  | 1.3820          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.39.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
+  "bias": "none",
+  "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_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",
+    "k_proj",
+    "down_proj",
+    "o_proj",
+    "up_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Mar30_10-39-07_a6bc9d50641c/events.out.tfevents.1711795149.a6bc9d50641c.1089.0

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special_tokens_map.json

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+}

tokenizer.model

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tokenizer_config.json

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+}

training_args.bin

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