harveymannering
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End of training
Browse files- README.md +59 -0
- adapter_config.json +26 -0
- adapter_model.safetensors +3 -0
- generation_config.json +6 -0
- runs/Jan28_12-26-22_92d4921bf1c8/events.out.tfevents.1706444783.92d4921bf1c8.683.1 +3 -0
- runs/Jan28_12-26-22_92d4921bf1c8/events.out.tfevents.1706444885.92d4921bf1c8.683.2 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: other
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base_model: deepseek-ai/deepseek-coder-6.7b-instruct
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tags:
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- generated_from_trainer
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model-index:
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- name: deepseek-coder-6.7b-instruct-finetuned-manimation-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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# deepseek-coder-6.7b-instruct-finetuned-manimation-v2
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This model is a fine-tuned version of [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3792
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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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- 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: 3.0
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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 | 1.0 | 32 | 0.4282 |
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| No log | 2.0 | 64 | 0.3936 |
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| No log | 3.0 | 96 | 0.3792 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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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": "deepseek-ai/deepseek-coder-6.7b-instruct",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": false,
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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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"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": 64,
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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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"k_proj"
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],
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"task_type": "CAUSAL_LM"
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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:c14368d82822ed282ebeee159f6f7cf3aa3b8b37d31776f5b95815d6049019a7
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size 134235048
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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": 32013,
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"eos_token_id": 32021,
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"transformers_version": "4.35.2"
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}
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runs/Jan28_12-26-22_92d4921bf1c8/events.out.tfevents.1706444783.92d4921bf1c8.683.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:18f0c69b71c44137676197c26a5af110c546f42199745d29db7d5a6714adeab2
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size 5967
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runs/Jan28_12-26-22_92d4921bf1c8/events.out.tfevents.1706444885.92d4921bf1c8.683.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:3a611295076f008ea2fb9037a0eb73e30e63c9abee2ef1b75fbaa6f2de79b645
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size 354
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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:eb88ca3665d0369f9153f023410d4d06456b57b34560d5e428785d9e8c3f4df3
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size 4664
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