Training in progress, step 6188
Browse files- README.md +24 -24
- logs/attn_loss_fn=None, attn_weight=0, gradient_accumulation_steps=1, hs_loss_fn=0, hs_weight=0, learning_rate=0.0004, lr_scheduler_type=constant_with_warmup, max_grad_norm=1.0, num_warmup_steps=0, optim=p/events.out.tfevents.1723839050.5f530b1cf724 +2 -2
- logs/attn_loss_fn=None, attn_weight=0, gradient_accumulation_steps=1, hs_loss_fn=0, hs_weight=0, learning_rate=0.0004, lr_scheduler_type=constant_with_warmup, max_grad_norm=1.0, num_warmup_steps=1000, opti/events.out.tfevents.1723839267.5f530b1cf724 +3 -0
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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@@ -15,14 +15,14 @@ This student model is distilled from the teacher model [roneneldan/TinyStories-3
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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- eval_enwikippl:
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- eval_frwikippl:
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- eval_zhwikippl:
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- eval_tinystoriesppl:
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- eval_loss: 5.
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- eval_runtime: 6.
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- eval_samples_per_second:
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- eval_steps_per_second: 9.
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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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@@ -56,29 +56,29 @@ The following hyperparameters were used during training:
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- num_epochs: 1.0
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### Resource Usage
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Peak GPU Memory: 8.
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### Eval-Phase Metrics
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
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| 0 | 0 |
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| 500 | 0.0808 |
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| 1000 | 0.1616 |
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| 1500 | 0.2424 |
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| 2000 | 0.3232 |
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| 2500 | 0.4040 |
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| 3000 | 0.4848 |
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| 3500 | 0.5656 |
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| 4000 | 0.6464 |
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| 4500 | 0.7272 |
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| 5000 | 0.8080 |
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| 5500 | 0.8888 |
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| 6000 | 0.9696 |
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| 6188 | 1.0 |
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### Framework versions
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- Distily 0.2.0
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.
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The [Distily](https://github.com/lapp0/distily) library was used for this distillation.
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It achieves the following results on the evaluation set:
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- eval_enwikippl: 7370.6421
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- eval_frwikippl: 36625.3633
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- eval_zhwikippl: 69136.0938
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- eval_tinystoriesppl: 3403.9065
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- eval_loss: 5.1768
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- eval_runtime: 6.4845
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- eval_samples_per_second: 77.107
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- eval_steps_per_second: 9.715
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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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- num_epochs: 1.0
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### Resource Usage
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Peak GPU Memory: 8.0557 GB
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### Eval-Phase Metrics
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| step | epoch | enwikippl | frwikippl | loss | runtime | samples_per_second | steps_per_second | tinystoriesppl | zhwikippl |
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| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
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| **teacher eval** | | 169.9865 | 47377.9414 | | | | | 3.9789 | 4998.1294 |
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| 0 | 0 | 43423.2812 | 70766.6328 | 6.6982 | 6.5086 | 76.821 | 9.679 | 33276.4844 | 75720.9297 |
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| 500 | 0.0808 | 7652.8320 | 36775.2695 | 5.1768 | 6.4848 | 77.103 | 9.715 | 3608.4768 | 70684.1406 |
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| 1000 | 0.1616 | 7409.5664 | 36723.5039 | 5.1768 | 6.491 | 77.03 | 9.706 | 3437.2712 | 69450.3828 |
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| 1500 | 0.2424 | 7313.7646 | 36645.9766 | 5.1778 | 6.4918 | 77.02 | 9.705 | 3335.3831 | 68878.3828 |
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| 2000 | 0.3232 | 7313.7646 | 36645.9766 | 5.1778 | 6.4851 | 77.099 | 9.715 | 3339.7979 | 68841.6016 |
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| 2500 | 0.4040 | 7354.6680 | 36625.3633 | 5.1772 | 6.49 | 77.042 | 9.707 | 3393.2302 | 69062.3516 |
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| 3000 | 0.4848 | 7388.9336 | 36656.3242 | 5.1762 | 6.5016 | 76.905 | 9.69 | 3415.7463 | 69173.0234 |
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| 3500 | 0.5656 | 7393.5151 | 36676.9883 | 5.1762 | 6.4831 | 77.123 | 9.718 | 3418.0046 | 69173.0234 |
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| 4000 | 0.6464 | 7359.2285 | 36645.9766 | 5.1772 | 6.4881 | 77.064 | 9.71 | 3393.2302 | 69062.3516 |
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| 4500 | 0.7272 | 7320.5684 | 36645.9766 | 5.1772 | 6.486 | 77.089 | 9.713 | 3356.4048 | 69025.5469 |
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| 5000 | 0.8080 | 7320.5684 | 36645.9766 | 5.1772 | 6.6011 | 75.745 | 9.544 | 3351.9680 | 68988.6953 |
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| 5500 | 0.8888 | 7327.3711 | 36625.3633 | 5.1778 | 6.5132 | 76.767 | 9.673 | 3361.9597 | 69025.5469 |
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| 6000 | 0.9696 | 7384.3545 | 36625.3633 | 5.1762 | 6.4883 | 77.062 | 9.71 | 3409.5400 | 69173.0234 |
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| 6188 | 1.0 | 7370.6421 | 36625.3633 | 5.1768 | 6.4845 | 77.107 | 9.715 | 3403.9065 | 69136.0938 |
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### Framework versions
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- Distily 0.2.0
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- Transformers 4.44.0
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- Pytorch 2.3.0
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- Datasets 2.21.0
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logs/attn_loss_fn=None, attn_weight=0, gradient_accumulation_steps=1, hs_loss_fn=0, hs_weight=0, learning_rate=0.0004, lr_scheduler_type=constant_with_warmup, max_grad_norm=1.0, num_warmup_steps=0, optim=p/events.out.tfevents.1723839050.5f530b1cf724
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logs/attn_loss_fn=None, attn_weight=0, gradient_accumulation_steps=1, hs_loss_fn=0, hs_weight=0, learning_rate=0.0004, lr_scheduler_type=constant_with_warmup, max_grad_norm=1.0, num_warmup_steps=1000, opti/events.out.tfevents.1723839267.5f530b1cf724
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model.safetensors
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