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Model: israel/AfriqueQwen-14B-multiturn 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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license: other
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base_model: McGill-NLP/AfriqueQwen-14B
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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: AfriqueQwen-14B-multiturn
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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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# AfriqueQwen-14B-multiturn
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This model is a fine-tuned version of [McGill-NLP/AfriqueQwen-14B](https://huggingface.co/McGill-NLP/AfriqueQwen-14B) on the afri_multiturn 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: 1e-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: 4
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- total_eval_batch_size: 32
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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_steps: 0.1
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- num_epochs: 5.0
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### Training results
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### Framework versions
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- Transformers 5.2.0
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- Pytorch 2.10.0+cu128
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- Datasets 4.0.0
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- Tokenizers 0.22.2
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all_results.json
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all_results.json
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{
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"epoch": 5.0,
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"total_flos": 1091733654863872.0,
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"train_loss": 0.42485430567312915,
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"train_runtime": 114160.2816,
|
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"train_samples_per_second": 2.401,
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"train_steps_per_second": 0.3
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}
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85
chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0].role == 'system' %}
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{{- messages[0].content + '\n\n' }}
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{%- endif %}
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{{- "# 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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0].role == 'system' %}
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{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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{%- for message in messages[::-1] %}
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{%- set index = (messages|length - 1) - loop.index0 %}
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{%- if ns.multi_step_tool and message.role == "user" and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
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{%- set ns.multi_step_tool = false %}
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{%- set ns.last_query_index = index %}
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{%- endif %}
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{%- endfor %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- elif message.role == "assistant" %}
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{%- set content = message.content %}
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{%- set reasoning_content = '' %}
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{%- if message.reasoning_content is defined and message.reasoning_content is not none %}
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{%- set reasoning_content = message.reasoning_content %}
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{%- else %}
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{%- if '</think>' in message.content %}
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{%- set content = message.content.split('</think>')[-1].lstrip('\n') %}
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{%- set reasoning_content = message.content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
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{%- endif %}
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{%- endif %}
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{%- if loop.index0 > ns.last_query_index %}
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{%- if loop.last or (not loop.last and reasoning_content) %}
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{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- else %}
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{{- '<|im_start|>' + message.role + '\n' + content }}
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{%- endif %}
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{%- if message.tool_calls %}
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{%- for tool_call in message.tool_calls %}
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{%- if (loop.first and content) or (not loop.first) %}
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{{- '\n' }}
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{%- endif %}
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{%- if tool_call.function %}
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{%- set tool_call = tool_call.function %}
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{%- endif %}
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{{- '<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{%- if tool_call.arguments is string %}
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{{- tool_call.arguments }}
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{%- else %}
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{{- tool_call.arguments | tojson }}
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{%- endif %}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{%- endif %}
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{{- '<|im_end|>\n' }}
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{%- elif message.role == "tool" %}
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{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{%- endif %}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- if enable_thinking is defined and enable_thinking is false %}
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{{- '<think>\n\n</think>\n\n' }}
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{%- endif %}
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{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"Qwen3ForCausalLM"
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"attention_bias": false,
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"attention_dropout": 0.0,
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"dtype": "bfloat16",
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"head_dim": 128,
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"layer_types": [
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"full_attention",
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"max_position_embeddings": 32768,
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"max_window_layers": 40,
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"model_type": "qwen3",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 8,
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"pad_token_id": 151643,
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"rms_norm_eps": 1e-06,
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"rope_parameters": {
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"rope_theta": 1000000,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.2.0",
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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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generation_config.json
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"_from_model_config": true,
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"transformers_version": "5.2.0"
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tokenizer_config.json
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tokenizer_config.json
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||||
"add_prefix_space": false,
|
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"backend": "tokenizers",
|
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|im_end|>",
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"errors": "replace",
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"is_local": false,
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"pad_token": "<|endoftext|>",
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"padding_side": "right",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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8
train_results.json
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8
train_results.json
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{
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||||
"epoch": 5.0,
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||||
"total_flos": 1091733654863872.0,
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"train_runtime": 114160.2816,
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"train_steps_per_second": 0.3
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35
trainer_log.jsonl
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trainer_log.jsonl
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{"current_steps": 10000, "total_steps": 34265, "loss": 0.6123408203125, "lr": 8.920609397454381e-06, "epoch": 1.459248449470996, "percentage": 29.18, "elapsed_time": "9:13:31", "remaining_time": "22:23:07"}
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{"current_steps": 13000, "total_steps": 34265, "loss": 0.615207763671875, "lr": 7.805266544962458e-06, "epoch": 1.897044874133528, "percentage": 37.94, "elapsed_time": "11:59:35", "remaining_time": "19:37:05"}
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{"current_steps": 16000, "total_steps": 34265, "loss": 0.38497344970703123, "lr": 6.4299311407857035e-06, "epoch": 2.334768332725283, "percentage": 46.69, "elapsed_time": "14:45:41", "remaining_time": "16:51:03"}
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||||
{"current_steps": 17000, "total_steps": 34265, "loss": 0.3850032653808594, "lr": 5.935265379168761e-06, "epoch": 2.48070047427946, "percentage": 49.61, "elapsed_time": "15:40:54", "remaining_time": "15:55:34"}
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Reference in New Issue
Block a user