Model save
Browse files- .gitattributes +1 -0
- README.md +60 -0
- added_tokens.json +24 -0
- config.json +29 -0
- generation_config.json +14 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +441 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_log.jsonl +96 -0
- training_args.bin +3 -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-Coder-3B-Instruct
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: ex43_qwen2.5_3b_61k_source_16kcw_2ep_cuda_amd_os
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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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# ex43_qwen2.5_3b_61k_source_16kcw_2ep_cuda_amd_os
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This model is a fine-tuned version of [Qwen/Qwen2.5-Coder-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-Coder-3B-Instruct) on an unknown 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: 8
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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: 2
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 128
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- total_eval_batch_size: 16
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- optimizer: Use OptimizerNames.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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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.5.1+cu124
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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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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-Coder-3B-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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"bos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 11008,
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"max_position_embeddings": 32768,
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"max_window_layers": 36,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 36,
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"num_key_value_heads": 2,
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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": true,
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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": 151936
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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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_k": 20,
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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-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4957560304
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model-00002-of-00002.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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@@ -0,0 +1,31 @@
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version https://git-lfs.github.com/spec/v1
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size 11421896
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198 |
+
"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": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 16000,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,96 @@
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1 |
+
{"current_steps": 10, "total_steps": 954, "loss": 0.0288, "lr": 2.0833333333333334e-06, "epoch": 0.020925974365681402, "percentage": 1.05, "elapsed_time": "0:08:29", "remaining_time": "13:20:56"}
|
2 |
+
{"current_steps": 20, "total_steps": 954, "loss": 0.0118, "lr": 4.166666666666667e-06, "epoch": 0.041851948731362804, "percentage": 2.1, "elapsed_time": "0:17:48", "remaining_time": "13:52:02"}
|
3 |
+
{"current_steps": 30, "total_steps": 954, "loss": 0.0039, "lr": 6.25e-06, "epoch": 0.0627779230970442, "percentage": 3.14, "elapsed_time": "0:27:44", "remaining_time": "14:14:23"}
|
4 |
+
{"current_steps": 40, "total_steps": 954, "loss": 0.0029, "lr": 8.333333333333334e-06, "epoch": 0.08370389746272561, "percentage": 4.19, "elapsed_time": "0:36:54", "remaining_time": "14:03:24"}
|
5 |
+
{"current_steps": 50, "total_steps": 954, "loss": 0.0028, "lr": 1.0416666666666668e-05, "epoch": 0.10462987182840701, "percentage": 5.24, "elapsed_time": "0:46:24", "remaining_time": "13:59:05"}
|
6 |
+
{"current_steps": 60, "total_steps": 954, "loss": 0.0024, "lr": 1.25e-05, "epoch": 0.1255558461940884, "percentage": 6.29, "elapsed_time": "0:54:47", "remaining_time": "13:36:18"}
|
7 |
+
{"current_steps": 70, "total_steps": 954, "loss": 0.0021, "lr": 1.4583333333333333e-05, "epoch": 0.14648182055976983, "percentage": 7.34, "elapsed_time": "1:04:16", "remaining_time": "13:31:38"}
|
8 |
+
{"current_steps": 80, "total_steps": 954, "loss": 0.0013, "lr": 1.6666666666666667e-05, "epoch": 0.16740779492545121, "percentage": 8.39, "elapsed_time": "1:13:08", "remaining_time": "13:19:03"}
|
9 |
+
{"current_steps": 90, "total_steps": 954, "loss": 0.0006, "lr": 1.8750000000000002e-05, "epoch": 0.18833376929113263, "percentage": 9.43, "elapsed_time": "1:21:33", "remaining_time": "13:02:54"}
|
10 |
+
{"current_steps": 100, "total_steps": 954, "loss": 0.0029, "lr": 1.9998927475076107e-05, "epoch": 0.20925974365681402, "percentage": 10.48, "elapsed_time": "1:29:23", "remaining_time": "12:43:23"}
|
11 |
+
{"current_steps": 110, "total_steps": 954, "loss": 0.0019, "lr": 1.998686421164407e-05, "epoch": 0.23018571802249543, "percentage": 11.53, "elapsed_time": "1:38:07", "remaining_time": "12:32:54"}
|
12 |
+
{"current_steps": 120, "total_steps": 954, "loss": 0.0007, "lr": 1.9961413253717214e-05, "epoch": 0.2511116923881768, "percentage": 12.58, "elapsed_time": "1:46:02", "remaining_time": "12:16:58"}
|
13 |
+
{"current_steps": 130, "total_steps": 954, "loss": 0.002, "lr": 1.9922608719076874e-05, "epoch": 0.2720376667538582, "percentage": 13.63, "elapsed_time": "1:54:07", "remaining_time": "12:03:23"}
|
14 |
+
{"current_steps": 140, "total_steps": 954, "loss": 0.0011, "lr": 1.9870502626379127e-05, "epoch": 0.29296364111953965, "percentage": 14.68, "elapsed_time": "2:02:11", "remaining_time": "11:50:25"}
|
15 |
+
{"current_steps": 150, "total_steps": 954, "loss": 0.0019, "lr": 1.980516482542224e-05, "epoch": 0.31388961548522104, "percentage": 15.72, "elapsed_time": "2:11:11", "remaining_time": "11:43:11"}
|
16 |
+
{"current_steps": 160, "total_steps": 954, "loss": 0.0022, "lr": 1.972668290351084e-05, "epoch": 0.33481558985090243, "percentage": 16.77, "elapsed_time": "2:19:49", "remaining_time": "11:33:50"}
|
17 |
+
{"current_steps": 170, "total_steps": 954, "loss": 0.0013, "lr": 1.9635162068042547e-05, "epoch": 0.3557415642165838, "percentage": 17.82, "elapsed_time": "2:26:57", "remaining_time": "11:17:42"}
|
18 |
+
{"current_steps": 180, "total_steps": 954, "loss": 0.0016, "lr": 1.9530725005474195e-05, "epoch": 0.37666753858226526, "percentage": 18.87, "elapsed_time": "2:36:13", "remaining_time": "11:11:45"}
|
19 |
+
{"current_steps": 190, "total_steps": 954, "loss": 0.0017, "lr": 1.9413511716856973e-05, "epoch": 0.39759351294794665, "percentage": 19.92, "elapsed_time": "2:45:44", "remaining_time": "11:06:25"}
|
20 |
+
{"current_steps": 200, "total_steps": 954, "loss": 0.0006, "lr": 1.9283679330160726e-05, "epoch": 0.41851948731362804, "percentage": 20.96, "elapsed_time": "2:54:21", "remaining_time": "10:57:20"}
|
21 |
+
{"current_steps": 210, "total_steps": 954, "loss": 0.004, "lr": 1.9141401889639167e-05, "epoch": 0.4394454616793094, "percentage": 22.01, "elapsed_time": "3:03:07", "remaining_time": "10:48:47"}
|
22 |
+
{"current_steps": 220, "total_steps": 954, "loss": 0.0014, "lr": 1.898687012251826e-05, "epoch": 0.46037143604499087, "percentage": 23.06, "elapsed_time": "3:12:53", "remaining_time": "10:43:32"}
|
23 |
+
{"current_steps": 230, "total_steps": 954, "loss": 0.0035, "lr": 1.8820291183320602e-05, "epoch": 0.48129741041067226, "percentage": 24.11, "elapsed_time": "3:21:06", "remaining_time": "10:33:04"}
|
24 |
+
{"current_steps": 240, "total_steps": 954, "loss": 0.0004, "lr": 1.8641888376168483e-05, "epoch": 0.5022233847763536, "percentage": 25.16, "elapsed_time": "3:29:36", "remaining_time": "10:23:35"}
|
25 |
+
{"current_steps": 250, "total_steps": 954, "loss": 0.0032, "lr": 1.845190085543795e-05, "epoch": 0.5231493591420351, "percentage": 26.21, "elapsed_time": "3:38:01", "remaining_time": "10:13:56"}
|
26 |
+
{"current_steps": 260, "total_steps": 954, "loss": 0.0009, "lr": 1.8250583305165098e-05, "epoch": 0.5440753335077164, "percentage": 27.25, "elapsed_time": "3:46:35", "remaining_time": "10:04:48"}
|
27 |
+
{"current_steps": 270, "total_steps": 954, "loss": 0.0011, "lr": 1.8038205597634392e-05, "epoch": 0.5650013078733979, "percentage": 28.3, "elapsed_time": "3:54:58", "remaining_time": "9:55:15"}
|
28 |
+
{"current_steps": 280, "total_steps": 954, "loss": 0.0042, "lr": 1.7815052431606702e-05, "epoch": 0.5859272822390793, "percentage": 29.35, "elapsed_time": "4:02:59", "remaining_time": "9:44:55"}
|
29 |
+
{"current_steps": 290, "total_steps": 954, "loss": 0.0029, "lr": 1.7581422950671942e-05, "epoch": 0.6068532566047606, "percentage": 30.4, "elapsed_time": "4:11:30", "remaining_time": "9:35:52"}
|
30 |
+
{"current_steps": 300, "total_steps": 954, "loss": 0.0017, "lr": 1.733763034223804e-05, "epoch": 0.6277792309704421, "percentage": 31.45, "elapsed_time": "4:19:56", "remaining_time": "9:26:39"}
|
31 |
+
{"current_steps": 310, "total_steps": 954, "loss": 0.0013, "lr": 1.7084001417693702e-05, "epoch": 0.6487052053361234, "percentage": 32.49, "elapsed_time": "4:27:23", "remaining_time": "9:15:29"}
|
32 |
+
{"current_steps": 320, "total_steps": 954, "loss": 0.001, "lr": 1.682087617430782e-05, "epoch": 0.6696311797018049, "percentage": 33.54, "elapsed_time": "4:34:52", "remaining_time": "9:04:35"}
|
33 |
+
{"current_steps": 330, "total_steps": 954, "loss": 0.0009, "lr": 1.6548607339452853e-05, "epoch": 0.6905571540674863, "percentage": 34.59, "elapsed_time": "4:44:31", "remaining_time": "8:57:59"}
|
34 |
+
{"current_steps": 340, "total_steps": 954, "loss": 0.0007, "lr": 1.626755989776303e-05, "epoch": 0.7114831284331676, "percentage": 35.64, "elapsed_time": "4:52:23", "remaining_time": "8:48:00"}
|
35 |
+
{"current_steps": 350, "total_steps": 954, "loss": 0.0016, "lr": 1.5978110601861408e-05, "epoch": 0.7324091027988491, "percentage": 36.69, "elapsed_time": "5:00:58", "remaining_time": "8:39:24"}
|
36 |
+
{"current_steps": 360, "total_steps": 954, "loss": 0.0009, "lr": 1.568064746731156e-05, "epoch": 0.7533350771645305, "percentage": 37.74, "elapsed_time": "5:09:02", "remaining_time": "8:29:55"}
|
37 |
+
{"current_steps": 370, "total_steps": 954, "loss": 0.0018, "lr": 1.5375569252470897e-05, "epoch": 0.7742610515302119, "percentage": 38.78, "elapsed_time": "5:18:19", "remaining_time": "8:22:26"}
|
38 |
+
{"current_steps": 380, "total_steps": 954, "loss": 0.0006, "lr": 1.506328492394303e-05, "epoch": 0.7951870258958933, "percentage": 39.83, "elapsed_time": "5:27:01", "remaining_time": "8:13:58"}
|
39 |
+
{"current_steps": 390, "total_steps": 954, "loss": 0.0023, "lr": 1.4744213108345605e-05, "epoch": 0.8161130002615746, "percentage": 40.88, "elapsed_time": "5:36:09", "remaining_time": "8:06:08"}
|
40 |
+
{"current_steps": 400, "total_steps": 954, "loss": 0.0021, "lr": 1.4418781531128636e-05, "epoch": 0.8370389746272561, "percentage": 41.93, "elapsed_time": "5:45:29", "remaining_time": "7:58:30"}
|
41 |
+
{"current_steps": 410, "total_steps": 954, "loss": 0.0009, "lr": 1.4087426443195549e-05, "epoch": 0.8579649489929375, "percentage": 42.98, "elapsed_time": "5:53:59", "remaining_time": "7:49:41"}
|
42 |
+
{"current_steps": 420, "total_steps": 954, "loss": 0.0023, "lr": 1.375059203609562e-05, "epoch": 0.8788909233586188, "percentage": 44.03, "elapsed_time": "6:03:33", "remaining_time": "7:42:14"}
|
43 |
+
{"current_steps": 430, "total_steps": 954, "loss": 0.0006, "lr": 1.3408729846571716e-05, "epoch": 0.8998168977243003, "percentage": 45.07, "elapsed_time": "6:12:13", "remaining_time": "7:33:35"}
|
44 |
+
{"current_steps": 440, "total_steps": 954, "loss": 0.0009, "lr": 1.3062298151261592e-05, "epoch": 0.9207428720899817, "percentage": 46.12, "elapsed_time": "6:22:12", "remaining_time": "7:26:29"}
|
45 |
+
{"current_steps": 450, "total_steps": 954, "loss": 0.0016, "lr": 1.2711761352364172e-05, "epoch": 0.9416688464556631, "percentage": 47.17, "elapsed_time": "6:30:28", "remaining_time": "7:17:20"}
|
46 |
+
{"current_steps": 460, "total_steps": 954, "loss": 0.0005, "lr": 1.2357589355094275e-05, "epoch": 0.9625948208213445, "percentage": 48.22, "elapsed_time": "6:39:14", "remaining_time": "7:08:45"}
|
47 |
+
{"current_steps": 470, "total_steps": 954, "loss": 0.0019, "lr": 1.2000256937760446e-05, "epoch": 0.9835207951870258, "percentage": 49.27, "elapsed_time": "6:48:01", "remaining_time": "7:00:11"}
|
48 |
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{"current_steps": 480, "total_steps": 954, "loss": 0.0013, "lr": 1.1640243115310219e-05, "epoch": 1.0044467695527073, "percentage": 50.31, "elapsed_time": "6:57:10", "remaining_time": "6:51:58"}
|
49 |
+
{"current_steps": 490, "total_steps": 954, "loss": 0.0008, "lr": 1.127803049719605e-05, "epoch": 1.0253727439183886, "percentage": 51.36, "elapsed_time": "7:05:20", "remaining_time": "6:42:46"}
|
50 |
+
{"current_steps": 500, "total_steps": 954, "loss": 0.0004, "lr": 1.091410464042268e-05, "epoch": 1.0462987182840702, "percentage": 52.41, "elapsed_time": "7:13:33", "remaining_time": "6:33:40"}
|
51 |
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{"current_steps": 510, "total_steps": 954, "loss": 0.0002, "lr": 1.0548953398643276e-05, "epoch": 1.0672246926497515, "percentage": 53.46, "elapsed_time": "7:23:17", "remaining_time": "6:25:55"}
|
52 |
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{"current_steps": 520, "total_steps": 954, "loss": 0.0013, "lr": 1.0183066268176775e-05, "epoch": 1.0881506670154328, "percentage": 54.51, "elapsed_time": "7:31:55", "remaining_time": "6:17:11"}
|
53 |
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{"current_steps": 530, "total_steps": 954, "loss": 0.0004, "lr": 9.81693373182323e-06, "epoch": 1.1090766413811144, "percentage": 55.56, "elapsed_time": "7:40:57", "remaining_time": "6:08:46"}
|
54 |
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{"current_steps": 540, "total_steps": 954, "loss": 0.0005, "lr": 9.451046601356725e-06, "epoch": 1.1300026157467957, "percentage": 56.6, "elapsed_time": "7:48:43", "remaining_time": "5:59:21"}
|
55 |
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{"current_steps": 550, "total_steps": 954, "loss": 0.0012, "lr": 9.085895359577324e-06, "epoch": 1.150928590112477, "percentage": 57.65, "elapsed_time": "7:57:18", "remaining_time": "5:50:36"}
|
56 |
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{"current_steps": 560, "total_steps": 954, "loss": 0.0007, "lr": 8.721969502803954e-06, "epoch": 1.1718545644781586, "percentage": 58.7, "elapsed_time": "8:06:38", "remaining_time": "5:42:23"}
|
57 |
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{"current_steps": 570, "total_steps": 954, "loss": 0.0006, "lr": 8.359756884689785e-06, "epoch": 1.19278053884384, "percentage": 59.75, "elapsed_time": "8:16:02", "remaining_time": "5:34:10"}
|
58 |
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{"current_steps": 580, "total_steps": 954, "loss": 0.001, "lr": 7.999743062239557e-06, "epoch": 1.2137065132095213, "percentage": 60.8, "elapsed_time": "8:25:13", "remaining_time": "5:25:46"}
|
59 |
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|
60 |
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{"current_steps": 600, "total_steps": 954, "loss": 0.0008, "lr": 7.2882386476358304e-06, "epoch": 1.2555584619408842, "percentage": 62.89, "elapsed_time": "8:41:31", "remaining_time": "5:07:41"}
|
61 |
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|
62 |
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|
63 |
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{"current_steps": 630, "total_steps": 954, "loss": 0.0003, "lr": 6.249407963904381e-06, "epoch": 1.3183363850379284, "percentage": 66.04, "elapsed_time": "9:07:48", "remaining_time": "4:41:43"}
|
64 |
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|
65 |
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{"current_steps": 650, "total_steps": 954, "loss": 0.0015, "lr": 5.581218468871365e-06, "epoch": 1.3601883337692913, "percentage": 68.13, "elapsed_time": "9:25:35", "remaining_time": "4:24:31"}
|
66 |
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|
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:97b7528c527b563b5e0d1bd28191886d4289f6c0d452de84b5b1d0fb121e054b
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size 7672
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vocab.json
ADDED
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