初始化项目，由ModelHub XC社区提供模型
Model: Nelis5174473/GovLLM-7B-ultra Source: Original Platform
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README.md
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README.md
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---
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library_name: transformers
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tags:
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- government
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- conversational
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- question-answering
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- dutch
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- geitje
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license: apache-2.0
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datasets:
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- Nelis5174473/Dutch-QA-Pairs-Rijksoverheid
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language:
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- nl
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pipeline_tag: text-generation
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---
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<p align="center" style="margin:0;padding:0">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/65e04544f59f66e0e072dc5c/b-OsZLNJtPHMwzbgwmGlV.png" alt="GovLLM Ultra banner" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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</p>
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<div style="margin:auto; text-align:center">
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<h1 style="margin-bottom: 0">GovLLM-7B-ultra</h1>
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<em>A question answering model about the Dutch Government.</em>
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</div>
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## Model description
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This model is a fine-tuned version of the Dutch conversational model [BramVanroy/GEITje-7B-ULTRA](https://huggingface.co/BramVanroy/GEITje-7B-ultra) on a [Dutch question-answer pair dataset](https://huggingface.co/datasets/Nelis5174473/Dutch-QA-Pairs-Rijksoverheid) of the Dutch Government. This is a Dutch question/answer model ultimately based on Mistral and fine-tuned with SFT and LoRA. The training with 3 epochs took almost 2 hours and was run on an Nvidia A100 (40GB VRAM).
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# Usage with Inference Endpoints (Dedicated)
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```python
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import requests
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API_URL = "https://your-own-endpoint.us-east-1.aws.endpoints.huggingface.cloud"
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headers = {"Authorization": "Bearer hf_your_own_token"}
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def query(payload):
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response = requests.post(API_URL, headers=headers, json=payload)
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return response.json()
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output = query({
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"inputs": "Geeft de overheid subsidie aan bedrijven?"
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})
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# print generated answer
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print(output[0]['generated_text'])
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```
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## Training hyperparameters
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The following hyperparameters were used during training:
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- block_size: 1024,
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- model_max_length: 2048,
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- padding: right,
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- mixed_precision: fp16,
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- learning rate (lr): 0.00003,
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- epochs: 3,
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- batch_size: 2,
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- optimizer: adamw_torch,
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- schedular: linear,
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- quantization: int8,
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- peft: true,
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- lora_r: 16,
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- lora_alpha: 16,
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- lora_dropout: 0.05
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### Training results
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| Epoch | Loss | Grad_norm | learning_rate | step |
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|:------:|---------:|:----------:|:-------------:|:--------:|
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| 0.14 | 1.3183 | 0.6038 | 1.3888e-05 | 25/540 |
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| 0.42 | 1.0220 | 0.4180 | 2.8765e-05 | 75/540 |
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| 0.69 | 0.9251 | 0.4119 | 2.56793-05 | 125/540 |
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| 0.97 | 0.9260 | 0.4682 | 2.2592e-05 | 175/540 |
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| 1.25 | 0.8586 | 0.5338 | 1.9506e-05 | 225/540 |
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| 1.53 | 0.8767 | 0.6359 | 1.6420e-05 | 275/540 |
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| 1.80 | 0.8721 | 0.6137 | 1.3333e-05 | 325/540 |
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| 2.08 | 0.8469 | 0.7310 | 1.0247e-05 | 375/540 |
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| 2.36 | 0.8324 | 0.7945 | 7.1605e-05 | 425/540 |
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| 2.64 | 0.8170 | 0.8522 | 4.0741e-05 | 475/540 |
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| 2.91 | 0.8185 | 0.8562 | 9.8765e-05 | 525/540 |
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config.json
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config.json
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{
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"_name_or_path": "BramVanroy/GEITje-7B-ultra",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.38.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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"model.layers.9.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.layers.9.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
||||
"model.norm.weight": "model-00006-of-00006.safetensors"
|
||||
}
|
||||
}
|
||||
30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"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": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"unk_token": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
}
|
||||
}
|
||||
91122
tokenizer.json
Normal file
91122
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
43
tokenizer_config.json
Normal file
43
tokenizer_config.json
Normal file
@@ -0,0 +1,43 @@
|
||||
{
|
||||
"add_bos_token": true,
|
||||
"add_eos_token": false,
|
||||
"added_tokens_decoder": {
|
||||
"0": {
|
||||
"content": "<unk>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"1": {
|
||||
"content": "<s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"2": {
|
||||
"content": "</s>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [],
|
||||
"bos_token": "<s>",
|
||||
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "</s>",
|
||||
"legacy": true,
|
||||
"model_max_length": 8192,
|
||||
"pad_token": "</s>",
|
||||
"sp_model_kwargs": {},
|
||||
"spaces_between_special_tokens": false,
|
||||
"tokenizer_class": "LlamaTokenizer",
|
||||
"unk_token": "<unk>",
|
||||
"use_default_system_prompt": true
|
||||
}
|
||||
Reference in New Issue
Block a user