Bram Vanroy commited on
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8628592
1 Parent(s): 30d7874

init model

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README.md CHANGED
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  ---
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- license: cc-by-nc-4.0
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - BramVanroy/alpaca-dolly-dutch
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+ model-index:
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+ - name: 1e-3lr+512tbs@4n4gpus80
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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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+ # 1e-3lr+512tbs@4n4gpus80
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+
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+ This model is a fine-tuned version of [ybelkada/falcon-7b-sharded-bf16](https://huggingface.co/ybelkada/falcon-7b-sharded-bf16) on the BramVanroy/alpaca-dolly-dutch dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.2612
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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: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 16
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+ - total_train_batch_size: 512
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+ - total_eval_batch_size: 512
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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_ratio: 0.03
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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 |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.8677 | 0.16 | 20 | 1.6766 |
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+ | 1.5635 | 0.32 | 40 | 1.5643 |
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+ | 1.6353 | 0.48 | 60 | 1.4980 |
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+ | 1.5166 | 0.65 | 80 | 1.4516 |
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+ | 1.4287 | 0.81 | 100 | 1.4096 |
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+ | 1.5791 | 0.97 | 120 | 1.3802 |
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+ | 1.3911 | 1.13 | 140 | 1.3633 |
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+ | 1.356 | 1.29 | 160 | 1.3419 |
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+ | 1.2524 | 1.45 | 180 | 1.3263 |
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+ | 1.4224 | 1.61 | 200 | 1.3056 |
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+ | 1.2266 | 1.77 | 220 | 1.2897 |
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+ | 1.3242 | 1.94 | 240 | 1.2785 |
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+ | 1.03 | 2.1 | 260 | 1.2957 |
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+ | 1.1643 | 2.26 | 280 | 1.2970 |
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+ | 1.1492 | 2.42 | 300 | 1.2779 |
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+ | 1.0679 | 2.58 | 320 | 1.2770 |
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+ | 1.2695 | 2.74 | 340 | 1.2658 |
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+ | 1.0439 | 2.9 | 360 | 1.2612 |
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+ | 0.9453 | 3.06 | 380 | 1.3157 |
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+ | 0.8494 | 3.23 | 400 | 1.3189 |
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+ | 1.0745 | 3.39 | 420 | 1.3073 |
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+ | 0.8679 | 3.55 | 440 | 1.3019 |
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+ | 1.0569 | 3.71 | 460 | 1.2955 |
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+ | 1.0186 | 3.87 | 480 | 1.2890 |
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+ | 0.8413 | 4.03 | 500 | 1.3445 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.30.1
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3
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+ {
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+ "epoch": 4.03,
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+ "eval_loss": 1.2611794471740723,
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+ "eval_samples": 3332,
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+ "eval_samples_per_second": 131.103,
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+ "eval_steps_per_second": 0.275,
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+ "perplexity": 3.5295819888396176,
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+ "train_loss": 1.25592919921875,
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+ "train_samples": 63101,
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+ "train_samples_per_second": 154.599,
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+ "train_steps_per_second": 0.304
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+ }
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+ "RWForCausalLM"
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+ "attention_dropout": 0.0,
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+ "auto_map": {
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+ "use_cache": true,
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+ "vocab_size": 65024
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+ "perplexity": 3.5295819888396176
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