Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-babylm-seed_1024-1e-3
+  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-babylm-seed_1024-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4044
+- Accuracy: 0.4112
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 128
+- seed: 1024
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.5972        | 1.0   | 18595  | 3.7848          | 0.3596   |
+| 3.3783        | 2.0   | 37190  | 3.5924          | 0.3811   |
+| 3.2531        | 3.0   | 55785  | 3.4617          | 0.3919   |
+| 3.1768        | 4.0   | 74380  | 3.4215          | 0.3983   |
+| 3.1209        | 5.0   | 92975  | 3.3891          | 0.4028   |
+| 3.0769        | 6.0   | 111570 | 3.3921          | 0.4039   |
+| 3.0421        | 7.0   | 130165 | 3.3538          | 0.4070   |
+| 3.0089        | 8.0   | 148760 | 3.3607          | 0.4076   |
+| 2.9842        | 9.0   | 167355 | 3.3492          | 0.4094   |
+| 2.9595        | 10.0  | 185950 | 3.3596          | 0.4097   |
+| 2.9382        | 11.0  | 204545 | 3.3544          | 0.4101   |
+| 2.9125        | 12.0  | 223140 | 3.3588          | 0.4107   |
+| 2.8929        | 13.0  | 241735 | 3.3648          | 0.4109   |
+| 2.8689        | 14.0  | 260330 | 3.3662          | 0.4110   |
+| 2.8494        | 15.0  | 278925 | 3.3657          | 0.4116   |
+| 2.8316        | 16.0  | 297520 | 3.3748          | 0.4114   |
+| 2.8151        | 17.0  | 316115 | 3.3865          | 0.4114   |
+| 2.797         | 18.0  | 334710 | 3.3825          | 0.4115   |
+| 2.7759        | 19.0  | 353305 | 3.4028          | 0.4111   |
+| 2.7566        | 20.0  | 371900 | 3.4044          | 0.4112   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu121
+- Datasets 2.12.0
+- Tokenizers 0.14.1

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": "4.35.0"
+}

model.safetensors

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+oid sha256:11496bd13c2875950a68e56e08b0c76a6516eb439a619a918233450658167103
 size 391376736