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train_conala_42_1760637549

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_42_1760637549
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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_42_1760637549
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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: 0.9179
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+ - Num Input Tokens Seen: 3049984
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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: 0.001
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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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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+ | 0.8366 | 1.0 | 536 | 0.6933 | 153352 |
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+ | 0.6292 | 2.0 | 1072 | 0.6899 | 305496 |
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+ | 0.4186 | 3.0 | 1608 | 0.6457 | 458160 |
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+ | 0.5617 | 4.0 | 2144 | 0.6498 | 610584 |
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+ | 0.5602 | 5.0 | 2680 | 0.6488 | 763216 |
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+ | 0.4184 | 6.0 | 3216 | 0.6422 | 915528 |
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+ | 0.5468 | 7.0 | 3752 | 0.6684 | 1067904 |
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+ | 0.429 | 8.0 | 4288 | 0.6670 | 1221016 |
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+ | 0.4701 | 9.0 | 4824 | 0.6892 | 1373032 |
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+ | 0.9467 | 10.0 | 5360 | 0.6917 | 1525104 |
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+ | 0.5869 | 11.0 | 5896 | 0.7297 | 1677680 |
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+ | 0.3809 | 12.0 | 6432 | 0.7218 | 1830200 |
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+ | 0.301 | 13.0 | 6968 | 0.7636 | 1982664 |
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+ | 0.1776 | 14.0 | 7504 | 0.7891 | 2135168 |
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+ | 0.3594 | 15.0 | 8040 | 0.8015 | 2287232 |
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+ | 0.2563 | 16.0 | 8576 | 0.8285 | 2438992 |
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+ | 0.124 | 17.0 | 9112 | 0.8634 | 2591432 |
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+ | 0.3369 | 18.0 | 9648 | 0.8991 | 2744944 |
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+ | 0.3073 | 19.0 | 10184 | 0.9123 | 2897552 |
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+ | 0.2325 | 20.0 | 10720 | 0.9179 | 3049984 |
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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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