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-dict-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. -->
+
+# mistral-dict-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: 1.0971
+
+## 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: 0.00025
+- 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: 150
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5253        | 0.02  | 10   | 1.2809          |
+| 0.6095        | 0.04  | 20   | 1.3211          |
+| 0.6344        | 0.06  | 30   | 1.2456          |
+| 0.6884        | 0.08  | 40   | 1.2517          |
+| 0.8843        | 0.1   | 50   | 1.1908          |
+| 1.1089        | 0.12  | 60   | 1.1586          |
+| 1.1403        | 0.14  | 70   | 1.1397          |
+| 1.1651        | 0.16  | 80   | 1.1363          |
+| 1.2073        | 0.18  | 90   | 1.1258          |
+| 1.1118        | 0.2   | 100  | 1.1154          |
+| 1.0701        | 0.22  | 110  | 1.1106          |
+| 1.1988        | 0.24  | 120  | 1.1064          |
+| 1.1405        | 0.26  | 130  | 1.1029          |
+| 1.0875        | 0.28  | 140  | 1.0986          |
+| 1.1385        | 0.3   | 150  | 1.0971          |
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.40.0.dev0
+- Pytorch 2.1.1+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": 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": [
+    "v_proj",
+    "k_proj",
+    "up_proj",
+    "lm_head",
+    "down_proj",
+    "o_proj",
+    "q_proj",
+    "gate_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+oid sha256:eb842146f11dcd926eda8c05e1135c985c272a92be2b5d57836ff57e10d5a153
+size 864513616

training_args.bin

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