End of training
Browse files- README.md +141 -0
- generation_config.json +7 -0
- model-00001-of-00003.safetensors +3 -0
- model-00002-of-00003.safetensors +3 -0
- model-00003-of-00003.safetensors +3 -0
- model.safetensors.index.json +298 -0
README.md
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---
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license: apache-2.0
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base_model: mistralai/Mistral-7B-v0.3
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tags:
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- axolotl
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- generated_from_trainer
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model-index:
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- name: Mistral-7B-v0.3-sarcasm-scrolls-v2
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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axolotl version: `0.4.1`
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```yaml
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base_model: mistralai/Mistral-7B-v0.3
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model_type: MistralForCausalLM
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tokenizer_type: LlamaTokenizer
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strict: false
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# dataset
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datasets:
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- path: BEE-spoke-data/sarcasm-scrolls
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type: completion # format from earlier
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field: text
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val_set_size: 200
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sequence_len: 4096
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sample_packing: true
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pad_to_sequence_len: true
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train_on_inputs: false
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group_by_length: false
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# WANDB
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wandb_project: sarcasm-scrolls
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wandb_entity: pszemraj
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wandb_watch: gradients
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wandb_name: Mistral-7B-v0.3-sarcasm-scrolls-v2a
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hub_model_id: pszemraj/Mistral-7B-v0.3-sarcasm-scrolls-v2
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hub_strategy: every_save
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gradient_accumulation_steps: 32
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micro_batch_size: 1
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num_epochs: 2
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optimizer: adamw_torch_fused # paged_adamw_32bit
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lr_scheduler: cosine
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learning_rate: 2e-5
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load_in_8bit: false
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load_in_4bit: false
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bf16: true
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tf32: true
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torch_compile: true
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torch_compile_backend: inductor # Optional[str]
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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early_stopping_patience:
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logging_steps: 3
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xformers_attention:
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flash_attention: true
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warmup_steps: 20
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# hyperparams for freq of evals, saving, etc
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evals_per_epoch: 4
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saves_per_epoch: 4
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save_safetensors: true
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save_total_limit: 1 # Checkpoints saved at a time
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output_dir: ./output-axolotl/output-model-chaz
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resume_from_checkpoint:
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deepspeed:
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weight_decay: 0.06
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special_tokens:
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```
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</details><br>
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# Mistral-7B-v0.3-sarcasm-scrolls-v2
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.3](https://huggingface.co/mistralai/Mistral-7B-v0.3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.3333
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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: 2e-05
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- gradient_accumulation_steps: 32
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- total_train_batch_size: 32
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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_steps: 20
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| No log | 0.0075 | 1 | 2.3935 |
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| 2.3672 | 0.2548 | 34 | 2.3638 |
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| 2.3751 | 0.5096 | 68 | 2.3499 |
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| 2.308 | 0.7644 | 102 | 2.3238 |
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| 2.2672 | 1.0035 | 136 | 2.3027 |
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| 1.702 | 1.2583 | 170 | 2.3449 |
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| 1.7456 | 1.5131 | 204 | 2.3370 |
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| 1.7004 | 1.7679 | 238 | 2.3333 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 2.3.1+cu118
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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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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"do_sample": true,
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"eos_token_id": 2,
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"transformers_version": "4.41.1"
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}
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model-00001-of-00003.safetensors
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oid sha256:e855a0e920138afb0cec55f1891067f00a24dbc7f761e19ecf08d765c604bed7
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size 4949453792
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model-00002-of-00003.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00003.safetensors
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model.safetensors.index.json
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