End of training

README.md

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+---
+license: apache-2.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: mistralai/Mistral-7B-v0.1
+model-index:
+- name: mistral-7b-brian-clough-ft
+  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-brian-clough-ft
+
+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: 0.0344
+
+## 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: 2.5e-05
+- train_batch_size: 2
+- 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: 1
+- training_steps: 500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8109        | 12.5  | 25   | 0.0686          |
+| 0.0523        | 25.0  | 50   | 0.0304          |
+| 0.0357        | 37.5  | 75   | 0.0344          |
+| 0.0366        | 50.0  | 100  | 0.0390          |
+| 0.035         | 62.5  | 125  | 0.0330          |
+| 0.0346        | 75.0  | 150  | 0.0347          |
+| 0.0346        | 87.5  | 175  | 0.0356          |
+| 0.0338        | 100.0 | 200  | 0.0355          |
+| 0.0341        | 112.5 | 225  | 0.0363          |
+| 0.0325        | 125.0 | 250  | 0.0376          |
+| 0.0333        | 137.5 | 275  | 0.0341          |
+| 0.0332        | 150.0 | 300  | 0.0348          |
+| 0.0332        | 162.5 | 325  | 0.0346          |
+| 0.0334        | 175.0 | 350  | 0.0345          |
+| 0.0333        | 187.5 | 375  | 0.0325          |
+| 0.033         | 200.0 | 400  | 0.0347          |
+| 0.0328        | 212.5 | 425  | 0.0338          |
+| 0.0331        | 225.0 | 450  | 0.0343          |
+| 0.0339        | 237.5 | 475  | 0.0343          |
+| 0.0324        | 250.0 | 500  | 0.0344          |
+
+
+### Framework versions
+
+- PEFT 0.7.2.dev0
+- Transformers 4.37.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 64,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj",
+    "down_proj",
+    "gate_proj",
+    "up_proj",
+    "k_proj",
+    "lm_head",
+    "o_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 864513616

training_args.bin

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