Model save

README.md

@@ -0,0 +1,79 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-indef_articles_with_pl_nouns-removal-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-counterfactual-babylm-indef_articles_with_pl_nouns-removal-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4176
+- Accuracy: 0.4125
+
+## 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: 16
+- 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.5148        | 1.0   | 37201  | 3.7270          | 0.3671   |
+| 3.3074        | 2.0   | 74402  | 3.4841          | 0.3897   |
+| 3.1988        | 3.0   | 111603 | 3.4300          | 0.3979   |
+| 3.152         | 4.0   | 148804 | 3.3774          | 0.4050   |
+| 3.0973        | 5.0   | 186005 | 3.3462          | 0.4090   |
+| 3.0543        | 6.0   | 223206 | 3.3687          | 0.4064   |
+| 3.0161        | 7.0   | 260407 | 3.3391          | 0.4114   |
+| 2.9858        | 8.0   | 297608 | 3.3477          | 0.4105   |
+| 2.9718        | 9.0   | 334809 | 3.3436          | 0.4112   |
+| 2.9399        | 10.0  | 372010 | 3.3451          | 0.4121   |
+| 2.9207        | 11.0  | 409211 | 3.3586          | 0.4130   |
+| 2.8987        | 12.0  | 446412 | 3.3554          | 0.4123   |
+| 2.8779        | 13.0  | 483613 | 3.3616          | 0.4130   |
+| 2.8519        | 14.0  | 520814 | 3.3696          | 0.4129   |
+| 2.8395        | 15.0  | 558015 | 3.3729          | 0.4128   |
+| 2.8151        | 16.0  | 595216 | 3.3718          | 0.4140   |
+| 2.798         | 17.0  | 632417 | 3.3858          | 0.4128   |
+| 2.7738        | 18.0  | 669618 | 3.4080          | 0.4130   |
+| 2.7555        | 19.0  | 706819 | 3.4067          | 0.4131   |
+| 2.7434        | 20.0  | 744020 | 3.4176          | 0.4125   |
+
+
+### 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 sha256:380085df0569cea634426312aebaa0abdcbd09687b1637d518cf23ea43c6c6fe
+oid sha256:f15c6e012bd2d7e6a722bea637740f5b56b409baa4f6523d80e4cc907fab5e3d
 size 391376736