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Browse files- README.md +61 -0
- all_results.json +8 -0
- config.json +28 -0
- generation_config.json +9 -0
- model-00001-of-00030.safetensors +3 -0
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README.md
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---
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license: other
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base_model: meta-llama/Meta-Llama-3-70B
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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: C021_random_sample_Meta-Llama-3-70B_pretrain_20240512_020339
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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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# C021_random_sample_Meta-Llama-3-70B_pretrain_20240512_020339
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This model is a fine-tuned version of [/mnt/fl/models/llama3/Meta-Llama-3-70B](https://huggingface.co//mnt/fl/models/llama3/Meta-Llama-3-70B) on the C021_random_sample_data 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: 3e-06
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- train_batch_size: 1
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 32
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- total_eval_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: polynomial
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- lr_scheduler_warmup_ratio: 0.075
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- num_epochs: 0.5
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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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- Transformers 4.40.2
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- Pytorch 2.3.0
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.5,
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"total_flos": 238563958456320.0,
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"train_loss": 1.1158998648325602,
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"train_runtime": 19061.2793,
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"train_samples_per_second": 0.402,
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"train_steps_per_second": 0.003
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}
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config.json
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{
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"_name_or_path": "/mnt/fl/models/llama3/Meta-Llama-3-70B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_dropout": 0.0,
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"intermediate_size": 28672,
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"max_position_embeddings": 8192,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 500000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.40.2",
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"use_cache": false,
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"vocab_size": 128256
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}
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generation_config.json
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"do_sample": true,
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}
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tokenizer.json
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tokenizer_config.json
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