Model save

README.md

@@ -0,0 +1,79 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-aann-prototypical_only-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-aann-prototypical_only-3e-4
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4082
+- Accuracy: 0.4080
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.7341        | 1.0   | 18593  | 3.8768          | 0.3468   |
+| 3.4322        | 2.0   | 37186  | 3.6158          | 0.3751   |
+| 3.2902        | 3.0   | 55779  | 3.4817          | 0.3883   |
+| 3.21          | 4.0   | 74372  | 3.4286          | 0.3960   |
+| 3.1498        | 5.0   | 92965  | 3.4151          | 0.3978   |
+| 3.0981        | 6.0   | 111558 | 3.3790          | 0.4022   |
+| 3.0651        | 7.0   | 130151 | 3.3750          | 0.4034   |
+| 3.0292        | 8.0   | 148744 | 3.3879          | 0.4041   |
+| 3.0031        | 9.0   | 167337 | 3.3773          | 0.4046   |
+| 2.9713        | 10.0  | 185930 | 3.3769          | 0.4061   |
+| 2.9529        | 11.0  | 204523 | 3.3778          | 0.4069   |
+| 2.9286        | 12.0  | 223116 | 3.3612          | 0.4077   |
+| 2.9065        | 13.0  | 241709 | 3.3686          | 0.4073   |
+| 2.8837        | 14.0  | 260302 | 3.3861          | 0.4078   |
+| 2.8621        | 15.0  | 278895 | 3.3851          | 0.4077   |
+| 2.8487        | 16.0  | 297488 | 3.3876          | 0.4080   |
+| 2.8243        | 17.0  | 316081 | 3.3908          | 0.4081   |
+| 2.8078        | 18.0  | 334674 | 3.3952          | 0.4082   |
+| 2.7887        | 19.0  | 353267 | 3.4020          | 0.4082   |
+| 2.7716        | 20.0  | 371860 | 3.4082          | 0.4080   |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "transformers_version": "4.36.0"
+}

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ad419433db4bc5ad97a65a7d1c7075f1d5d1eec5f77ee047f87f5f832c03919b
+oid sha256:480e3f086b674800a2e6bff8d08068d1db34fbb5cdf80e3451047853af320df3
 size 391376736