End of training

README.md

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+---
+license: other
+base_model: yahma/llama-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: V0305B1
+  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. -->
+
+# V0305B1
+
+This model is a fine-tuned version of [yahma/llama-7b-hf](https://huggingface.co/yahma/llama-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0747
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine_with_restarts
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.1466        | 0.09  | 10   | 1.4267          |
+| 0.6179        | 0.17  | 20   | 0.1910          |
+| 0.1703        | 0.26  | 30   | 0.1573          |
+| 0.1533        | 0.34  | 40   | 0.1496          |
+| 0.1508        | 0.43  | 50   | 0.1499          |
+| 0.1562        | 0.51  | 60   | 0.1490          |
+| 0.1515        | 0.6   | 70   | 0.1506          |
+| 0.1531        | 0.68  | 80   | 0.1493          |
+| 0.1481        | 0.77  | 90   | 0.1490          |
+| 0.1502        | 0.85  | 100  | 0.1408          |
+| 0.1455        | 0.94  | 110  | 0.1351          |
+| 0.1343        | 1.02  | 120  | 0.1112          |
+| 0.129         | 1.11  | 130  | 0.1147          |
+| 0.1165        | 1.19  | 140  | 0.1065          |
+| 0.1152        | 1.28  | 150  | 0.0977          |
+| 0.1095        | 1.37  | 160  | 0.0959          |
+| 0.11          | 1.45  | 170  | 0.0942          |
+| 0.1006        | 1.54  | 180  | 0.0933          |
+| 0.1017        | 1.62  | 190  | 0.0892          |
+| 0.1023        | 1.71  | 200  | 0.0885          |
+| 0.1009        | 1.79  | 210  | 0.0840          |
+| 0.0979        | 1.88  | 220  | 0.0806          |
+| 0.0932        | 1.96  | 230  | 0.0830          |
+| 0.0877        | 2.05  | 240  | 0.0818          |
+| 0.0839        | 2.13  | 250  | 0.0821          |
+| 0.0815        | 2.22  | 260  | 0.0783          |
+| 0.0783        | 2.3   | 270  | 0.0803          |
+| 0.0846        | 2.39  | 280  | 0.0773          |
+| 0.0862        | 2.47  | 290  | 0.0753          |
+| 0.0856        | 2.56  | 300  | 0.0752          |
+| 0.0893        | 2.65  | 310  | 0.0755          |
+| 0.0821        | 2.73  | 320  | 0.0750          |
+| 0.0821        | 2.82  | 330  | 0.0747          |
+| 0.0791        | 2.9   | 340  | 0.0747          |
+| 0.0796        | 2.99  | 350  | 0.0747          |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "yahma/llama-7b-hf",
+  "bias": "none",
+  "enable_lora": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "merge_weights": false,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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model.safetensors

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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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+  "add_eos_token": false,
+  "added_tokens_decoder": {
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+  "legacy": true,
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+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

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