Rub11037/Neuvillette
Browse files- README.md +65 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- config.json +27 -0
- generation_config.json +7 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +154 -0
- runs/May05_02-36-32_9284579cea2c/events.out.tfevents.1714876753.9284579cea2c.576.0 +3 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer_config.json +48 -0
- training_args.bin +3 -0
README.md
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---
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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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base_model: SanjiWatsuki/zephyrnt-3.8b
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model-index:
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- name: Neuvil
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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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# Neuvil
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This model is a fine-tuned version of [SanjiWatsuki/zephyrnt-3.8b](https://huggingface.co/SanjiWatsuki/zephyrnt-3.8b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9512
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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-05
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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: constant
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- lr_scheduler_warmup_ratio: 0.03
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- training_steps: 100
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 2.1364 | 2.3256 | 50 | 1.3813 |
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| 1.1532 | 4.6512 | 100 | 0.9512 |
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### Framework versions
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- PEFT 0.10.0
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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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": "SanjiWatsuki/zephyrnt-3.8b",
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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": 0.1,
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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": 32,
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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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"o_proj",
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"k_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 sha256:854ee89a7a2b4e3df3ab110b66d8b263421eb0a38d8ac353959cee752d9d79a1
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size 54543144
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config.json
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{
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"_name_or_path": "SanjiWatsuki/zephyrnt-3.8b",
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 16,
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"num_key_value_heads": 8,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.40.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"pad_token_id": 2,
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"transformers_version": "4.40.1"
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}
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6fd91885a9e641e022083c50291a8c4b6e2135ec2b55871adb2791fbedf55695
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size 4943162336
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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model.safetensors.index.json
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tokenizer_config.json
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