duneut/healphy-gpt

README.md

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----
-library_name: transformers
-tags: []
----
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-# Model Card for Model ID
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+---
+license: apache-2.0
+base_model: TheBloke/Mistral-7B-Instruct-v0.2-GPTQ
+tags:
+- generated_from_trainer
+model-index:
+- name: healphy-GPT
+  results: []
+library_name: peft
+---
+
+<!-- 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. -->
+
+# healphy-GPT
+
+This model is a fine-tuned version of [TheBloke/Mistral-7B-Instruct-v0.2-GPTQ](https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GPTQ) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6624
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+
+The following `bitsandbytes` quantization config was used during training:
+- quant_method: QuantizationMethod.GPTQ
+- bits: 4
+- tokenizer: None
+- dataset: None
+- group_size: 128
+- damp_percent: 0.1
+- desc_act: True
+- sym: True
+- true_sequential: True
+- use_cuda_fp16: False
+- model_seqlen: None
+- block_name_to_quantize: None
+- module_name_preceding_first_block: None
+- batch_size: 1
+- pad_token_id: None
+- use_exllama: True
+- max_input_length: None
+- exllama_config: {'version': <ExllamaVersion.ONE: 1>}
+- cache_block_outputs: True
+- modules_in_block_to_quantize: None
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 2
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7738        | 0.98  | 31   | 1.4461          |
+| 1.2438        | 1.98  | 63   | 1.2734          |
+| 1.1119        | 2.99  | 95   | 1.1583          |
+| 0.9848        | 4.0   | 127  | 1.0587          |
+| 0.9112        | 4.98  | 158  | 0.9546          |
+| 0.7821        | 5.98  | 190  | 0.8569          |
+| 0.6926        | 6.99  | 222  | 0.7727          |
+| 0.623         | 8.0   | 254  | 0.7120          |
+| 0.5934        | 8.98  | 285  | 0.6737          |
+| 0.5381        | 9.76  | 310  | 0.6624          |
+
+
+### Framework versions
+
+- PEFT 0.5.0
+- Transformers 4.38.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.20.0
+- Tokenizers 0.15.2

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desktop.ini

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special_tokens_map.json

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tokenizer_config.json

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+{
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+  "added_tokens_decoder": {
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+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{{ bos_token }}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'assistant' %}{{ message['content'] + eos_token}}{% else %}{{ raise_exception('Only user and assistant roles are supported!') }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

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