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train_conala_456_1760637779

Text Generation
PEFT
Safetensors
Transformers
llama-factory
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README.md ADDED
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+ ---
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+ library_name: peft
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+ license: llama3
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+ base_model: meta-llama/Meta-Llama-3-8B-Instruct
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+ tags:
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+ - base_model:adapter:meta-llama/Meta-Llama-3-8B-Instruct
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+ - llama-factory
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+ - transformers
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+ pipeline_tag: text-generation
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+ model-index:
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+ - name: train_conala_456_1760637779
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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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+
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+ # train_conala_456_1760637779
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+
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+ This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2293
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+ - Num Input Tokens Seen: 3043720
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.03
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 456
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 20
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-----------------:|
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+ | 0.7796 | 1.0 | 536 | 0.6564 | 152088 |
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+ | 0.5925 | 2.0 | 1072 | 4.2643 | 303784 |
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+ | 0.4671 | 3.0 | 1608 | 0.6282 | 456552 |
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+ | 0.5547 | 4.0 | 2144 | 0.6224 | 608704 |
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+ | 0.539 | 5.0 | 2680 | 0.6358 | 761184 |
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+ | 0.6204 | 6.0 | 3216 | 0.6471 | 912912 |
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+ | 0.4443 | 7.0 | 3752 | 0.6642 | 1065128 |
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+ | 0.432 | 8.0 | 4288 | 0.6942 | 1216496 |
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+ | 0.4643 | 9.0 | 4824 | 0.6956 | 1368880 |
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+ | 0.2251 | 10.0 | 5360 | 0.7665 | 1522016 |
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+ | 0.2757 | 11.0 | 5896 | 0.7932 | 1674136 |
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+ | 0.3017 | 12.0 | 6432 | 0.8299 | 1826160 |
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+ | 0.1997 | 13.0 | 6968 | 0.9332 | 1978984 |
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+ | 0.086 | 14.0 | 7504 | 1.0294 | 2130656 |
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+ | 0.0632 | 15.0 | 8040 | 1.1322 | 2282720 |
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+ | 0.0933 | 16.0 | 8576 | 1.1970 | 2434896 |
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+ | 0.0596 | 17.0 | 9112 | 1.2180 | 2586968 |
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+ | 0.0668 | 18.0 | 9648 | 1.2268 | 2738448 |
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+ | 0.0231 | 19.0 | 10184 | 1.2259 | 2891056 |
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+ | 0.0237 | 20.0 | 10720 | 1.2293 | 3043720 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.17.1
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+ - Transformers 4.51.3
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+ - Pytorch 2.9.0+cu128
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+ - Datasets 4.0.0
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+ - Tokenizers 0.21.4
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