Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-adj_num_freq_balanced-3e-4
+  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. -->
+
+# smolm-autoreg-bpe-counterfactual-babylm-adj_num_freq_balanced-3e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4663
+- Accuracy: 0.4052
+
+## 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: 0.0003
+- train_batch_size: 32
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 32000
+- num_epochs: 20.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7291        | 1.0   | 18629  | 3.9229          | 0.3464   |
+| 3.4237        | 2.0   | 37258  | 3.6542          | 0.3747   |
+| 3.2842        | 3.0   | 55887  | 3.5183          | 0.3880   |
+| 3.1952        | 4.0   | 74516  | 3.4748          | 0.3938   |
+| 3.1351        | 5.0   | 93145  | 3.4493          | 0.3972   |
+| 3.0844        | 6.0   | 111774 | 3.4156          | 0.4005   |
+| 3.0442        | 7.0   | 130403 | 3.3854          | 0.4032   |
+| 3.008         | 8.0   | 149032 | 3.4062          | 0.4030   |
+| 2.9768        | 9.0   | 167661 | 3.3970          | 0.4047   |
+| 2.9498        | 10.0  | 186290 | 3.4024          | 0.4047   |
+| 2.917         | 11.0  | 204919 | 3.4242          | 0.4039   |
+| 2.9005        | 12.0  | 223548 | 3.4093          | 0.4049   |
+| 2.8747        | 13.0  | 242177 | 3.4192          | 0.4051   |
+| 2.8542        | 14.0  | 260806 | 3.4233          | 0.4053   |
+| 2.8326        | 15.0  | 279435 | 3.4314          | 0.4054   |
+| 2.8125        | 16.0  | 298064 | 3.4404          | 0.4052   |
+| 2.7911        | 17.0  | 316693 | 3.4450          | 0.4054   |
+| 2.7682        | 18.0  | 335322 | 3.4488          | 0.4054   |
+| 2.7512        | 19.0  | 353951 | 3.4581          | 0.4054   |
+| 2.7331        | 20.0  | 372580 | 3.4663          | 0.4052   |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0"
+}

model.safetensors

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 size 391376736