lucifer/qlora-news

README.md

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+---
+base_model: microsoft/Phi-3-mini-4k-instruct
+library_name: peft
+license: mit
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: outputdir
+  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. -->
+
+# outputdir
+
+This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2794
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 3.0506        | 0.0771 | 100  | 2.8512          |
+| 2.4484        | 0.1542 | 200  | 1.7779          |
+| 1.5032        | 0.2313 | 300  | 1.3608          |
+| 1.3472        | 0.3085 | 400  | 1.3325          |
+| 1.3304        | 0.3856 | 500  | 1.3195          |
+| 1.3156        | 0.4627 | 600  | 1.3103          |
+| 1.313         | 0.5398 | 700  | 1.3038          |
+| 1.2976        | 0.6169 | 800  | 1.2991          |
+| 1.3001        | 0.6940 | 900  | 1.2956          |
+| 1.2976        | 0.7712 | 1000 | 1.2927          |
+| 1.2902        | 0.8483 | 1100 | 1.2907          |
+| 1.2831        | 0.9254 | 1200 | 1.2888          |
+| 1.2839        | 1.0025 | 1300 | 1.2874          |
+| 1.2792        | 1.0796 | 1400 | 1.2860          |
+| 1.295         | 1.1567 | 1500 | 1.2845          |
+| 1.287         | 1.2339 | 1600 | 1.2838          |
+| 1.2831        | 1.3110 | 1700 | 1.2831          |
+| 1.2764        | 1.3881 | 1800 | 1.2821          |
+| 1.2836        | 1.4652 | 1900 | 1.2815          |
+| 1.2844        | 1.5423 | 2000 | 1.2810          |
+| 1.2791        | 1.6194 | 2100 | 1.2804          |
+| 1.2869        | 1.6965 | 2200 | 1.2799          |
+| 1.2814        | 1.7737 | 2300 | 1.2798          |
+| 1.2775        | 1.8508 | 2400 | 1.2796          |
+| 1.2837        | 1.9279 | 2500 | 1.2794          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "microsoft/Phi-3-mini-4k-instruct",
+  "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": 32,
+  "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",
+    "up_proj",
+    "gate_proj",
+    "down_proj",
+    "k_proj",
+    "o_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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added_tokens.json

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runs/Aug20_09-08-26_6b286baf168a/events.out.tfevents.1724144912.6b286baf168a.520.0

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runs/Aug20_09-10-28_6b286baf168a/events.out.tfevents.1724145035.6b286baf168a.520.1

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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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+  "chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{{'<|system|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'user' %}{{'<|user|>\n' + message['content'] + '<|end|>\n'}}{% elif message['role'] == 'assistant' %}{{'<|assistant|>\n' + message['content'] + '<|end|>\n'}}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>\n' }}{% else %}{{ eos_token }}{% endif %}",
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+  "model_max_length": 4096,
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+  "tokenizer_class": "LlamaTokenizer",
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+}

training_args.bin

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