Training in progress, step 5000

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: HuggingFaceTB/SmolLM-135M
+tags:
+- generated_from_trainer
+model-index:
+- name: distily_smollm_dataset_sweep
+  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. -->
+
+# distily_smollm_dataset_sweep
+
+This model is a fine-tuned version of [HuggingFaceTB/SmolLM-135M](https://huggingface.co/HuggingFaceTB/SmolLM-135M) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2261
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: polynomial
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch  | Step   | Validation Loss |
+|:-------------:|:------:|:------:|:---------------:|
+| No log        | 0      | 0      | 19.2449         |
+| 1.1157        | 0.0401 | 5000   | 1.0851          |
+| 0.6609        | 0.0802 | 10000  | 0.6537          |
+| 0.5549        | 0.1202 | 15000  | 0.5350          |
+| 0.4606        | 0.1603 | 20000  | 0.4633          |
+| 0.465         | 0.2004 | 25000  | 0.4193          |
+| 0.3826        | 0.2405 | 30000  | 0.3880          |
+| 0.3807        | 0.2806 | 35000  | 0.3668          |
+| 0.3315        | 0.3206 | 40000  | 0.3475          |
+| 0.3352        | 0.3607 | 45000  | 0.3333          |
+| 0.3222        | 0.4008 | 50000  | 0.3209          |
+| 0.2994        | 0.4409 | 55000  | 0.3103          |
+| 0.3059        | 0.4810 | 60000  | 0.3016          |
+| 0.3154        | 0.5210 | 65000  | 0.2924          |
+| 0.2986        | 0.5611 | 70000  | 0.2855          |
+| 0.2696        | 0.6012 | 75000  | 0.2785          |
+| 0.254         | 0.6413 | 80000  | 0.2726          |
+| 0.2561        | 0.6814 | 85000  | 0.2662          |
+| 0.2602        | 0.7214 | 90000  | 0.2605          |
+| 0.2592        | 0.7615 | 95000  | 0.2558          |
+| 0.2417        | 0.8016 | 100000 | 0.2506          |
+| 0.23          | 0.8417 | 105000 | 0.2455          |
+| 0.2329        | 0.8818 | 110000 | 0.2406          |
+| 0.2302        | 0.9218 | 115000 | 0.2360          |
+| 0.2722        | 0.9619 | 120000 | 0.2312          |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.5.0.dev20240910+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

benchmarks.shelve.bak

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+'distily_smollm_dataset_sweep/logs/dataset_max_seq_length=1024, dataset_sample_size=1000000, dataset_subset=None, dataset_uri=distily_filtered_redpajama_en, per_device_train_batch_size=8', (1024, 448)

benchmarks.shelve.dir

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generation_config.json

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+  "eos_token_id": 0,
+  "transformers_version": "4.45.0.dev0",
+  "use_cache": false
+}

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