Model save
Browse files- README.md +61 -0
- adapter_config.json +5 -5
- all_results.json +8 -0
- lora_0/adapter_config.json +37 -0
- lora_0/adapter_model.safetensors +3 -0
- runs/Apr16_18-03-29_g3032/events.out.tfevents.1713328250.g3032.69688.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +4476 -0
- training_args.bin +1 -1
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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- trl
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- sft
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- generated_from_trainer
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datasets:
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- generator
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-pl-qlora
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results: []
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---
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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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# zephyr-7b-pl-qlora
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator 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: 2
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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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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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 1
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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 0.10.0
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- Transformers 4.37.2
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- Pytorch 2.2.0
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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adapter_config.json
CHANGED
@@ -20,13 +20,13 @@
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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-
"down_proj",
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-
"o_proj",
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"q_proj",
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"
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"k_proj",
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"v_proj",
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-
"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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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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"up_proj",
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"v_proj",
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"k_proj",
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"gate_proj",
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"o_proj",
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"down_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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all_results.json
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{
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"epoch": 0.05,
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"train_loss": 0.0,
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"train_runtime": 10.3365,
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"train_samples": 207865,
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"train_samples_per_second": 0.193,
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"train_steps_per_second": 0.097
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}
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lora_0/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": {
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"base_model_class": "MistralForCausalLM",
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"parent_library": "transformers.models.mistral.modeling_mistral"
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},
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"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
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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": 0.05,
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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": 16,
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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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"up_proj",
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"v_proj",
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"k_proj",
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"gate_proj",
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"o_proj",
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"down_proj"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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lora_0/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:1115637aaf8135f62aaaf10041922f70ece834333b01ba61c0d256a426d6e9c6
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size 167832240
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runs/Apr16_18-03-29_g3032/events.out.tfevents.1713328250.g3032.69688.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2411e10ec829fef96ede5291e71cd2d2fa34cd1f8556d0f9e7fcdbc6d69825e0
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size 4803
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train_results.json
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{
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"epoch": 0.05,
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"train_loss": 0.0,
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"train_runtime": 10.3365,
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"train_samples": 207865,
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"train_samples_per_second": 0.193,
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"train_steps_per_second": 0.097
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}
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trainer_state.json
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