keonhee/granite-3.0-8b-instruct-korean-assistant-epoch12
Browse files- README.md +57 -0
- adapter_config.json +32 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +10 -0
- merges.txt +0 -0
- special_tokens_map.json +39 -0
- tokenizer.json +0 -0
- tokenizer_config.json +246 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: ibm-granite/granite-3.0-8b-instruct
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library_name: transformers
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model_name: results
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for results
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This model is a fine-tuned version of [ibm-granite/granite-3.0-8b-instruct](https://huggingface.co/ibm-granite/granite-3.0-8b-instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="keonhee/results", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.12.1
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- Transformers: 4.46.2
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- Pytorch: 2.1.0+cu118
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- Datasets: 3.1.0
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- Tokenizers: 0.20.3
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "GraniteForCausalLM",
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"parent_library": "transformers.models.granite.modeling_granite"
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},
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"base_model_name_or_path": "ibm-granite/granite-3.0-8b-instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.1,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"v_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c5eafc07a013c577e9cef23317d9aacbb4bf064c57860f49bce669e93df9bdcc
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size 839537880
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added_tokens.json
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{
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"<|assistant|>": 49158,
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"<|end_of_role|>": 49153,
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"<|endoftext|>": 49159,
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"<|start_of_role|>": 49152,
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"<|strat_of_role|>": 49155,
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"<|system|>": 49156,
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"<|tool_call|>": 49154,
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"<|user|>": 49157
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}
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merges.txt
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<|strat_of_role|>",
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"<|end_of_role|>",
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"<|tool_call|>",
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"<|system|>",
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"<|user|>",
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"<|assistant|>",
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"<|endoftext|>"
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],
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"bos_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|end_of_text|>",
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},
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"pad_token": {
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"content": "<|end_of_text|>",
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},
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"unk_token": {
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"content": "<|end_of_text|>",
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"lstrip": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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{
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},
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},
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},
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},
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},
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},
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"7": {
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},
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},
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"15": {
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"special": true
|
156 |
+
},
|
157 |
+
"49152": {
|
158 |
+
"content": "<|start_of_role|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": true
|
164 |
+
},
|
165 |
+
"49153": {
|
166 |
+
"content": "<|end_of_role|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": true
|
172 |
+
},
|
173 |
+
"49154": {
|
174 |
+
"content": "<|tool_call|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": true
|
180 |
+
},
|
181 |
+
"49155": {
|
182 |
+
"content": "<|strat_of_role|>",
|
183 |
+
"lstrip": false,
|
184 |
+
"normalized": false,
|
185 |
+
"rstrip": false,
|
186 |
+
"single_word": false,
|
187 |
+
"special": true
|
188 |
+
},
|
189 |
+
"49156": {
|
190 |
+
"content": "<|system|>",
|
191 |
+
"lstrip": false,
|
192 |
+
"normalized": false,
|
193 |
+
"rstrip": false,
|
194 |
+
"single_word": false,
|
195 |
+
"special": true
|
196 |
+
},
|
197 |
+
"49157": {
|
198 |
+
"content": "<|user|>",
|
199 |
+
"lstrip": false,
|
200 |
+
"normalized": false,
|
201 |
+
"rstrip": false,
|
202 |
+
"single_word": false,
|
203 |
+
"special": true
|
204 |
+
},
|
205 |
+
"49158": {
|
206 |
+
"content": "<|assistant|>",
|
207 |
+
"lstrip": false,
|
208 |
+
"normalized": false,
|
209 |
+
"rstrip": false,
|
210 |
+
"single_word": false,
|
211 |
+
"special": true
|
212 |
+
},
|
213 |
+
"49159": {
|
214 |
+
"content": "<|endoftext|>",
|
215 |
+
"lstrip": false,
|
216 |
+
"normalized": false,
|
217 |
+
"rstrip": false,
|
218 |
+
"single_word": false,
|
219 |
+
"special": true
|
220 |
+
}
|
221 |
+
},
|
222 |
+
"additional_special_tokens": [
|
223 |
+
"<|strat_of_role|>",
|
224 |
+
"<|end_of_role|>",
|
225 |
+
"<|tool_call|>",
|
226 |
+
"<|system|>",
|
227 |
+
"<|user|>",
|
228 |
+
"<|assistant|>",
|
229 |
+
"<|endoftext|>"
|
230 |
+
],
|
231 |
+
"bos_token": "<|end_of_text|>",
|
232 |
+
"chat_template": "{%- if tools %}\n {{- '<|start_of_role|>available_tools<|end_of_role|>\n' }}\n {%- for tool in tools %}\n {{- tool | tojson(indent=4) }}\n {%- if not loop.last %}\n {{- '\n\n' }}\n {%- endif %}\n {%- endfor %}\n {{- '<|end_of_text|>\n' }}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n {{- '<|start_of_role|>system<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'user' %}\n {{- '<|start_of_role|>user<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'assistant' %}\n {{- '<|start_of_role|>assistant<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'assistant_tool_call' %}\n {{- '<|start_of_role|>assistant<|end_of_role|><|tool_call|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- elif message['role'] == 'tool_response' %}\n {{- '<|start_of_role|>tool_response<|end_of_role|>' + message['content'] + '<|end_of_text|>\n' }}\n {%- endif %}\n {%- if loop.last and add_generation_prompt %}\n {{- '<|start_of_role|>assistant<|end_of_role|>' }}\n {%- endif %}\n{%- endfor %}",
|
233 |
+
"clean_up_tokenization_spaces": true,
|
234 |
+
"eos_token": "<|end_of_text|>",
|
235 |
+
"errors": "replace",
|
236 |
+
"max_length": 250,
|
237 |
+
"model_max_length": 9223372036854775807,
|
238 |
+
"pad_token": "<|end_of_text|>",
|
239 |
+
"padding_side": "left",
|
240 |
+
"stride": 0,
|
241 |
+
"tokenizer_class": "GPT2Tokenizer",
|
242 |
+
"truncation_side": "right",
|
243 |
+
"truncation_strategy": "longest_first",
|
244 |
+
"unk_token": "<|end_of_text|>",
|
245 |
+
"vocab_size": 49152
|
246 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:86d6d33c252d74ffc553664a2d4d9eb324fb6f5b448357bbfe78c9831ee36228
|
3 |
+
size 5496
|
vocab.json
ADDED
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|
|