End of training
Browse files- README.md +57 -0
- adapter_config.json +29 -0
- adapter_model.safetensors +3 -0
- all_results.json +9 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer_config.json +0 -0
- train_results.json +9 -0
- trainer_state.json +30 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: jan-hq/komodo-7b-chat
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datasets:
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- wikitext
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model-index:
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- name: komodo-7b-test
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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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# komodo-7b-test
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This model is a fine-tuned version of [jan-hq/komodo-7b-chat](https://huggingface.co/jan-hq/komodo-7b-chat) on the wikitext wikitext-2-raw-v1 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: 5e-05
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- train_batch_size: 256
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: tpu
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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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- num_epochs: 40.0
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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 4.40.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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adapter_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": "jan-hq/komodo-7b-chat",
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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": 32,
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"lora_dropout": 0.0,
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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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"q_proj",
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"v_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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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b73cfa6ffa6bcfafbad46e9e78bbec19b1478df7bb106a026461b8883b0a79ea
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size 8405600
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all_results.json
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{
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"epoch": 40.0,
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"total_flos": 4.167371548576973e+18,
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"train_loss": 1.28,
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"train_runtime": 814.2309,
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"train_samples": 2698,
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"train_samples_per_second": 132.542,
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"train_steps_per_second": 0.491
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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tokenizer_config.json
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train_results.json
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{
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"epoch": 40.0,
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"total_flos": 4.167371548576973e+18,
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"train_loss": 1.28,
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"train_runtime": 814.2309,
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"train_samples": 2698,
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"train_samples_per_second": 132.542,
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"train_steps_per_second": 0.491
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 40.0,
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"eval_steps": 500,
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"global_step": 400,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 40.0,
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"step": 400,
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"total_flos": 4.167371548576973e+18,
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"train_loss": 1.28,
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"train_runtime": 814.2309,
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"train_samples_per_second": 132.542,
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"train_steps_per_second": 0.491
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}
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],
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"logging_steps": 500,
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"max_steps": 400,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 40,
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"save_steps": 500,
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"total_flos": 4.167371548576973e+18,
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"train_batch_size": 256,
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"trial_name": null,
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"trial_params": null
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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 sha256:5d2e344cdc5fce9ace2d72a63e19ce65062af4a2e635cf74add852308c9db580
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size 8824
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