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Delete QwenTT
Browse files- QwenTT/README.md +0 -59
- QwenTT/added_tokens.json +0 -5
- QwenTT/all_results.json +0 -8
- QwenTT/config.json +0 -29
- QwenTT/merges.txt +0 -0
- QwenTT/model.safetensors +0 -3
- QwenTT/running_log.txt +0 -161
- QwenTT/special_tokens_map.json +0 -20
- QwenTT/tokenizer.json +0 -0
- QwenTT/tokenizer_config.json +0 -44
- QwenTT/train_results.json +0 -8
- QwenTT/trainer_config.yaml +0 -31
- QwenTT/trainer_log.jsonl +0 -4
- QwenTT/trainer_state.json +0 -51
- QwenTT/training_args.bin +0 -3
- QwenTT/training_loss.png +0 -0
- QwenTT/vocab.json +0 -0
QwenTT/README.md
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---
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license: other
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library_name: peft
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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base_model: Qwen/Qwen1.5-0.5B
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model-index:
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- name: QwenTT
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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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# QwenTT
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This model is a fine-tuned version of [Qwen/Qwen1.5-0.5B](https://huggingface.co/Qwen/Qwen1.5-0.5B) on the identity and the wikipedia_en datasets.
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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: 5e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- num_epochs: 3.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.40.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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QwenTT/added_tokens.json
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{
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"<|endoftext|>": 151643,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644
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}
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QwenTT/all_results.json
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{
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"epoch": 2.608695652173913,
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"total_flos": 27871774801920.0,
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"train_loss": 3.2534534454345705,
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"train_runtime": 85.4079,
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"train_samples_per_second": 3.196,
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"train_steps_per_second": 0.176
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}
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QwenTT/config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "Qwen/Qwen1.5-0.5B",
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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": 16,
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"lora_dropout": 0,
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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": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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QwenTT/merges.txt
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QwenTT/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:31f5d9f1b65b5a0006ffc61f8ef6bd7ccffd1a64c896a8454f8101ec8c9c78e7
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size 3158328
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QwenTT/running_log.txt
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05/17/2024 21:21:12 - INFO - transformers.tokenization_utils_base - loading file vocab.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/vocab.json
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05/17/2024 21:21:12 - INFO - transformers.tokenization_utils_base - loading file merges.txt from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/merges.txt
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05/17/2024 21:21:12 - INFO - transformers.tokenization_utils_base - loading file tokenizer.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/tokenizer.json
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05/17/2024 21:21:12 - INFO - transformers.tokenization_utils_base - loading file added_tokens.json from cache at None
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05/17/2024 21:21:12 - INFO - transformers.tokenization_utils_base - loading file special_tokens_map.json from cache at None
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05/17/2024 21:21:12 - INFO - transformers.tokenization_utils_base - loading file tokenizer_config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/tokenizer_config.json
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05/17/2024 21:21:12 - WARNING - transformers.tokenization_utils_base - Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
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05/17/2024 21:21:12 - INFO - llamafactory.data.template - Replace eos token: <|im_end|>
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05/17/2024 21:21:12 - INFO - llamafactory.data.loader - Loading dataset identity.json...
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05/17/2024 21:21:13 - INFO - llamafactory.data.loader - Loading dataset olm/olm-wikipedia-20221220...
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05/17/2024 21:22:39 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/config.json
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05/17/2024 21:22:39 - INFO - transformers.configuration_utils - Model config Qwen2Config {
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"_name_or_path": "Qwen/Qwen1.5-0.5B",
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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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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 2816,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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05/17/2024 21:22:39 - INFO - llamafactory.model.utils.quantization - Quantizing model to 8 bit.
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05/17/2024 21:22:45 - INFO - transformers.modeling_utils - loading weights file model.safetensors from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/model.safetensors
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05/17/2024 21:22:45 - INFO - transformers.modeling_utils - Instantiating Qwen2ForCausalLM model under default dtype torch.float16.
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05/17/2024 21:22:45 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
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"bos_token_id": 151643,
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"eos_token_id": 151643
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}
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05/17/2024 21:22:49 - INFO - transformers.modeling_utils - All model checkpoint weights were used when initializing Qwen2ForCausalLM.
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05/17/2024 21:22:49 - INFO - transformers.modeling_utils - All the weights of Qwen2ForCausalLM were initialized from the model checkpoint at Qwen/Qwen1.5-0.5B.
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If your task is similar to the task the model of the checkpoint was trained on, you can already use Qwen2ForCausalLM for predictions without further training.
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05/17/2024 21:22:49 - INFO - transformers.generation.configuration_utils - loading configuration file generation_config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/generation_config.json
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05/17/2024 21:22:49 - INFO - transformers.generation.configuration_utils - Generate config GenerationConfig {
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"bos_token_id": 151643,
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"eos_token_id": 151643,
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"max_new_tokens": 2048
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}
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05/17/2024 21:22:49 - INFO - llamafactory.model.utils.checkpointing - Gradient checkpointing enabled.
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05/17/2024 21:22:49 - INFO - llamafactory.model.utils.attention - Using torch SDPA for faster training and inference.
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05/17/2024 21:22:49 - INFO - llamafactory.model.adapter - Upcasting trainable params to float32.
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05/17/2024 21:22:49 - INFO - llamafactory.model.adapter - Fine-tuning method: LoRA
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05/17/2024 21:22:50 - INFO - llamafactory.model.loader - trainable params: 786432 || all params: 464774144 || trainable%: 0.1692
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05/17/2024 21:22:50 - INFO - transformers.trainer - Using auto half precision backend
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05/17/2024 21:22:50 - INFO - transformers.trainer - ***** Running training *****
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05/17/2024 21:22:50 - INFO - transformers.trainer - Num examples = 91
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05/17/2024 21:22:50 - INFO - transformers.trainer - Num Epochs = 3
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05/17/2024 21:22:50 - INFO - transformers.trainer - Instantaneous batch size per device = 2
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05/17/2024 21:22:50 - INFO - transformers.trainer - Total train batch size (w. parallel, distributed & accumulation) = 16
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05/17/2024 21:22:50 - INFO - transformers.trainer - Gradient Accumulation steps = 8
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05/17/2024 21:22:50 - INFO - transformers.trainer - Total optimization steps = 15
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05/17/2024 21:22:50 - INFO - transformers.trainer - Number of trainable parameters = 786,432
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05/17/2024 21:23:19 - INFO - llamafactory.extras.callbacks - {'loss': 3.2997, 'learning_rate': 3.7500e-05, 'epoch': 0.87}
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05/17/2024 21:23:47 - INFO - llamafactory.extras.callbacks - {'loss': 3.2782, 'learning_rate': 1.2500e-05, 'epoch': 1.74}
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05/17/2024 21:24:15 - INFO - llamafactory.extras.callbacks - {'loss': 3.1825, 'learning_rate': 0.0000e+00, 'epoch': 2.61}
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05/17/2024 21:24:15 - INFO - transformers.trainer -
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Training completed. Do not forget to share your model on huggingface.co/models =)
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05/17/2024 21:24:15 - INFO - transformers.trainer - Saving model checkpoint to saves/Qwen1.5-0.5B/lora/QwenTT
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05/17/2024 21:24:16 - INFO - transformers.configuration_utils - loading configuration file config.json from cache at /root/.cache/huggingface/hub/models--Qwen--Qwen1.5-0.5B/snapshots/8f445e3628f3500ee69f24e1303c9f10f5342a39/config.json
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05/17/2024 21:24:16 - INFO - transformers.configuration_utils - Model config Qwen2Config {
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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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"eos_token_id": 151643,
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"hidden_act": "silu",
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"intermediate_size": 2816,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 16,
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"num_hidden_layers": 24,
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"num_key_value_heads": 16,
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"rms_norm_eps": 1e-06,
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"rope_theta": 1000000.0,
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"sliding_window": 32768,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.2",
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"use_cache": true,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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05/17/2024 21:24:16 - INFO - transformers.tokenization_utils_base - tokenizer config file saved in saves/Qwen1.5-0.5B/lora/QwenTT/tokenizer_config.json
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05/17/2024 21:24:16 - INFO - transformers.tokenization_utils_base - Special tokens file saved in saves/Qwen1.5-0.5B/lora/QwenTT/special_tokens_map.json
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05/17/2024 21:24:16 - WARNING - llamafactory.extras.ploting - No metric eval_loss to plot.
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05/17/2024 21:24:16 - INFO - transformers.modelcard - Dropping the following result as it does not have all the necessary fields:
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{'task': {'name': 'Causal Language Modeling', 'type': 'text-generation'}}
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QwenTT/special_tokens_map.json
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{
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"additional_special_tokens": [
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QwenTT/tokenizer.json
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QwenTT/tokenizer_config.json
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{
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QwenTT/train_results.json
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QwenTT/trainer_config.yaml
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cutoff_len: 1024
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dataset: identity,wikipedia_en
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dataset_dir: data
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num_train_epochs: 3.0
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report_to: none
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template: qwen
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QwenTT/trainer_log.jsonl
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QwenTT/trainer_state.json
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QwenTT/training_args.bin
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version https://git-lfs.github.com/spec/v1
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QwenTT/training_loss.png
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QwenTT/vocab.json
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