Model save

README.md

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+---
+base_model: pszemraj/MiniLMv2-L6-H384_R-simplewiki
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: MiniLMv2-L6-H384_R-simplewiki-fineweb-100k_en-med_512-vN
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# MiniLMv2-L6-H384_R-simplewiki-fineweb-100k_en-med_512-vN
+
+This model is a fine-tuned version of [pszemraj/MiniLMv2-L6-H384_R-simplewiki](https://huggingface.co/pszemraj/MiniLMv2-L6-H384_R-simplewiki) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0352
+- Accuracy: 0.3774
+- Num Input Tokens Seen: 157285376
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 8e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1792
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-07
+- lr_scheduler_type: inverse_sqrt
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Input Tokens Seen |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
+| 4.6583        | 0.1208 | 150  | 4.5052          | 0.3406   | 9830400           |
+| 4.5365        | 0.2415 | 300  | 4.3712          | 0.3525   | 19660800          |
+| 4.4621        | 0.3623 | 450  | 4.2810          | 0.3575   | 29491200          |
+| 4.4116        | 0.4831 | 600  | 4.2466          | 0.3615   | 39321600          |
+| 4.3487        | 0.6038 | 750  | 4.1795          | 0.3661   | 49152000          |
+| 4.338         | 0.7246 | 900  | 4.1874          | 0.3663   | 58982400          |
+| 4.342         | 0.8454 | 1050 | 4.1475          | 0.3695   | 68812800          |
+| 4.268         | 0.9661 | 1200 | 4.1215          | 0.3714   | 78643200          |
+| 4.2185        | 1.0869 | 1350 | 4.1032          | 0.3725   | 88472576          |
+| 4.2645        | 1.2077 | 1500 | 4.0859          | 0.3757   | 98302976          |
+| 4.2542        | 1.3284 | 1650 | 4.0730          | 0.3750   | 108133376         |
+| 4.2614        | 1.4492 | 1800 | 4.0682          | 0.3749   | 117963776         |
+| 4.1928        | 1.5700 | 1950 | 4.0596          | 0.3758   | 127794176         |
+| 4.1971        | 1.6907 | 2100 | 4.0505          | 0.3777   | 137624576         |
+| 4.1966        | 1.8115 | 2250 | 4.0163          | 0.3787   | 147454976         |
+| 4.16          | 1.9323 | 2400 | 4.0352          | 0.3774   | 157285376         |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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