Model save

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: smolm-autoreg-bpe-counterfactual-babylm-only_random_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-only_random_removal-1e-3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.4056
+- Accuracy: 0.4103
+
+## 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: 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 |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 3.6071        | 1.0   | 18588  | 3.7805          | 0.3590   |
+| 3.3943        | 2.0   | 37176  | 3.5796          | 0.3806   |
+| 3.2625        | 3.0   | 55764  | 3.4678          | 0.3915   |
+| 3.1838        | 4.0   | 74352  | 3.3962          | 0.3998   |
+| 3.1277        | 5.0   | 92940  | 3.3849          | 0.4017   |
+| 3.0813        | 6.0   | 111528 | 3.3874          | 0.4040   |
+| 3.0519        | 7.0   | 130116 | 3.3394          | 0.4079   |
+| 3.0181        | 8.0   | 148704 | 3.3441          | 0.4085   |
+| 2.9888        | 9.0   | 167292 | 3.3545          | 0.4088   |
+| 2.9602        | 10.0  | 185880 | 3.3501          | 0.4088   |
+| 2.942         | 11.0  | 204468 | 3.3509          | 0.4095   |
+| 2.9174        | 12.0  | 223056 | 3.3709          | 0.4093   |
+| 2.8989        | 13.0  | 241644 | 3.3608          | 0.4107   |
+| 2.8757        | 14.0  | 260232 | 3.3651          | 0.4101   |
+| 2.8506        | 15.0  | 278820 | 3.3638          | 0.4109   |
+| 2.8373        | 16.0  | 297408 | 3.3724          | 0.4107   |
+| 2.8195        | 17.0  | 315996 | 3.3819          | 0.4108   |
+| 2.7983        | 18.0  | 334584 | 3.3819          | 0.4110   |
+| 2.7786        | 19.0  | 353172 | 3.3970          | 0.4103   |
+| 2.7635        | 20.0  | 371760 | 3.4056          | 0.4103   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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": "4.37.2"
+}

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runs/Feb25_22-30-36_phyl-ling-p01.la.utexas.edu/events.out.tfevents.1708922202.phyl-ling-p01.la.utexas.edu.518872.0

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