Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +586 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +257 -0
- trainer_state.json +1498 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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+
library_name: transformers
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license: other
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+
base_model: Qwen/Qwen2.5-14B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: original
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# original
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This model is a fine-tuned version of [Qwen/Qwen2.5-14B-Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) on the Sky-T1 dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- gradient_accumulation_steps: 12
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- total_train_batch_size: 96
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- total_eval_batch_size: 64
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2.0
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### Training results
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|
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|
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|
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### Framework versions
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|
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- Transformers 4.46.1
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- Pytorch 2.4.0a0+f70bd71a48.nv24.06
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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added_tokens.json
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{
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}
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all_results.json
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{
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"epoch": 1.9976019184652278,
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"total_flos": 537505164820480.0,
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"train_loss": 0.11768974435444061,
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"train_runtime": 6440.6597,
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"train_samples_per_second": 3.106,
|
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"train_steps_per_second": 0.032
|
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-14B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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],
|
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"attention_dropout": 0.0,
|
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
|
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"max_position_embeddings": 32768,
|
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"max_window_layers": 70,
|
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"model_type": "qwen2",
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"num_attention_heads": 40,
|
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
|
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.46.1",
|
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"use_cache": false,
|
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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151643
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_p": 0.8,
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"transformers_version": "4.46.1"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00006.safetensors
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model.safetensors.index.json
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"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n {%- else %}\n {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role }}\n {%- if message.content %}\n {{- '\\n' + message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n {{- '<|im_start|>user' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|endoftext|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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+
{
|
2 |
+
"epoch": 1.9976019184652278,
|
3 |
+
"total_flos": 537505164820480.0,
|
4 |
+
"train_loss": 0.11768974435444061,
|
5 |
+
"train_runtime": 6440.6597,
|
6 |
+
"train_samples_per_second": 3.106,
|
7 |
+
"train_steps_per_second": 0.032
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,257 @@
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|
1 |
+
{"current_steps": 1, "total_steps": 208, "loss": 0.7616, "lr": 9.523809523809525e-07, "epoch": 0.009592326139088728, "percentage": 0.48, "elapsed_time": "0:01:46", "remaining_time": "6:07:27"}
|
2 |
+
{"current_steps": 2, "total_steps": 208, "loss": 0.8093, "lr": 1.904761904761905e-06, "epoch": 0.019184652278177457, "percentage": 0.96, "elapsed_time": "0:03:24", "remaining_time": "5:50:41"}
|
3 |
+
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|
4 |
+
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|
5 |
+
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|
6 |
+
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|
7 |
+
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|
8 |
+
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|
9 |
+
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|
10 |
+
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|
11 |
+
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|
12 |
+
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|
13 |
+
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|
14 |
+
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|
15 |
+
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|
16 |
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|
17 |
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|
18 |
+
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|
19 |
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|
20 |
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|
21 |
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|
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|
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trainer_state.json
ADDED
@@ -0,0 +1,1498 @@
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