nelkh/pgd_mistral_8bits_lr0.0002_alpha32_rk4_do0.1_wd1.0e-02

README.md

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----
-library_name: transformers
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+---
+base_model: mistralai/Mistral-7B-Instruct-v0.3
+library_name: peft
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: pgd_mistral_8bits_lr0.0002_alpha32_rk4_do0.1_wd1.0e-02
+  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. -->
+
+# pgd_mistral_8bits_lr0.0002_alpha32_rk4_do0.1_wd1.0e-02
+
+This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.3](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.3) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7793
+
+## 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: 0.0002
+- train_batch_size: 3
+- eval_batch_size: 3
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0296        | 0.9778 | 11   | 2.3415          |
+| 1.8108        | 1.9556 | 22   | 1.1645          |
+| 1.0071        | 2.9333 | 33   | 0.8704          |
+| 0.7805        | 4.0    | 45   | 0.8074          |
+| 0.7974        | 4.9778 | 56   | 0.7788          |
+| 0.7645        | 5.9556 | 67   | 0.7678          |
+| 0.7508        | 6.9333 | 78   | 0.7640          |
+| 0.675         | 8.0    | 90   | 0.7635          |
+| 0.7262        | 8.9778 | 101  | 0.7708          |
+| 0.6817        | 9.7778 | 110  | 0.7793          |
+
+
+### Framework versions
+
+- PEFT 0.10.1.dev0
+- Transformers 4.43.4
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.model

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+size 587404

training_args.bin

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