Commit
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955b660
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Parent(s):
1f9f3dc
End of training
Browse files- README.md +55 -0
- adapter_config.json +20 -0
- adapter_model.bin +3 -0
- emissions.csv +2 -0
- special_tokens_map.json +5 -0
- spiece.model +3 -0
- tokenizer_config.json +18 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-sa-4.0
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base_model: replit/replit-code-v1-3b
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tags:
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- generated_from_trainer
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model-index:
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- name: replit-code-v1-3b-fine-tuned-plc_V1
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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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# replit-code-v1-3b-fine-tuned-plc_V1
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This model is a fine-tuned version of [replit/replit-code-v1-3b](https://huggingface.co/replit/replit-code-v1-3b) 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: 0.0002
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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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- gradient_accumulation_steps: 4
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- total_train_batch_size: 4
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2
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- training_steps: 50
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### Training results
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### Framework versions
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- Transformers 4.34.0.dev0
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- Pytorch 2.1.0.dev20230823
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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adapter_config.json
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{
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"auto_mapping": null,
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"base_model_name_or_path": "replit/replit-code-v1-3b",
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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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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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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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"revision": null,
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"target_modules": [
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"Wqkv"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b09c5f7e131e8aabfa6f04065983ff567e171d5797365bd4b2eb902d9399885
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size 10508846
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emissions.csv
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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2023-09-21T10:45:45,codecarbon,cdedfc7c-1e8a-461b-9f01-e790291e86d9,244.1422085762024,0.021056992750083187,8.624888286578604e-05,140.0,381.922,191.85521936416626,0.00949395245048735,0.036961464822243655,0.012974394873124784,0.05942981214585579,Germany,DEU,north rhine-westphalia,,,Windows-10-10.0.20348-SP0,3.10.9,2.2.3,128,AMD EPYC 75F3 32-Core Processor,4,4 x NVIDIA A100-SXM4-80GB,7.9092,51.5554,511.61391830444336,machine,N,1.0
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special_tokens_map.json
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{
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"eos_token": "<|endoftext|>",
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"pad_token": "<|endoftext|>",
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"unk_token": "<|unk|>"
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}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e1ba8b7df0701723d2d901c7a42182fe77bf0045173f2cdb474ca6ea3eb1c02
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size 707660
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tokenizer_config.json
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{
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"auto_map": {
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"AutoTokenizer": [
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"replit/replit-code-v1-3b--replit_lm_tokenizer.ReplitLMTokenizer",
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null
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]
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},
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"bos_token": null,
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"clean_up_tokenization_spaces": false,
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"eos_token": "<|endoftext|>",
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"model_max_length": 2048,
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"pad_token": "<|pad|>",
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"padding_side": "right",
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"sep_token": null,
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"sp_model_kwargs": {},
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"tokenizer_class": "ReplitLMTokenizer",
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"unk_token": "<|unk|>"
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a5a29f66de3d093a945ccce39332a473b06d5def53e0a3a770f640970a1eb961
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size 4536
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