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-journal-finetune
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/amnaad24/journal-finetune/runs/u7i8ndr5)
+# mistral-journal-finetune
+
+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: 1.7152
+
+## 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: 2
+- training_steps: 500
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss |
+|:-------------:|:-------:|:----:|:---------------:|
+| 1.4632        | 1.0870  | 25   | 0.8646          |
+| 0.6844        | 2.1739  | 50   | 0.8295          |
+| 0.3071        | 3.2609  | 75   | 0.8981          |
+| 0.2151        | 4.3478  | 100  | 0.9571          |
+| 0.1535        | 5.4348  | 125  | 1.0427          |
+| 0.1188        | 6.5217  | 150  | 1.2999          |
+| 0.1234        | 7.6087  | 175  | 1.1580          |
+| 0.1023        | 8.6957  | 200  | 1.4546          |
+| 0.0956        | 9.7826  | 225  | 1.4925          |
+| 0.0915        | 10.8696 | 250  | 1.5539          |
+| 0.0892        | 11.9565 | 275  | 1.5340          |
+| 0.0873        | 13.0435 | 300  | 1.5638          |
+| 0.0805        | 14.1304 | 325  | 1.5932          |
+| 0.0816        | 15.2174 | 350  | 1.6178          |
+| 0.0791        | 16.3043 | 375  | 1.6719          |
+| 0.0799        | 17.3913 | 400  | 1.6869          |
+| 0.0775        | 18.4783 | 425  | 1.6920          |
+| 0.08          | 19.5652 | 450  | 1.6984          |
+| 0.0737        | 20.6522 | 475  | 1.7132          |
+| 0.0797        | 21.7391 | 500  | 1.7152          |
+
+
+### Framework versions
+
+- PEFT 0.11.2.dev0
+- Transformers 4.42.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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": 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": [
+    "k_proj",
+    "gate_proj",
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "o_proj",
+    "lm_head",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+size 864513616

training_args.bin

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