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mega-ar-350m-L3t-v0.08-ultraTBfw

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  1. README.md +82 -0
  2. generation_config.json +12 -12
  3. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: mega-ar-350m-L3t-v0.07-cosmo_webmath_py-UltraTextbooks-2.1-fw_mix-vN
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # mega-ar-350m-L3t-v0.07-cosmo_webmath_py-UltraTextbooks-2.1-fw_mix-vN
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+
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+ This model is a fine-tuned version of [pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py](https://huggingface.co/pszemraj/mega-ar-350m-L3t-v0.07-cosmo_webmath_py) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.0802
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+ - Accuracy: 0.5744
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+ - Num Input Tokens Seen: 3355443200
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 4e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 80085
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 32
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 4
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+ - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
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+ - lr_scheduler_type: inverse_sqrt
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+ - lr_scheduler_warmup_ratio: 0.05
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+ - num_epochs: 1.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Input Tokens Seen |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
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+ | 2.2572 | 0.0600 | 400 | 2.2462 | 0.5491 | 209715200 |
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+ | 2.2173 | 0.1201 | 800 | 2.1939 | 0.5564 | 419430400 |
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+ | 2.1992 | 0.1801 | 1200 | 2.1689 | 0.5604 | 629145600 |
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+ | 2.1543 | 0.2402 | 1600 | 2.1521 | 0.5632 | 838860800 |
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+ | 2.1532 | 0.3002 | 2000 | 2.1401 | 0.5650 | 1048576000 |
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+ | 2.1688 | 0.3603 | 2400 | 2.1307 | 0.5663 | 1258291200 |
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+ | 2.1443 | 0.4203 | 2800 | 2.1227 | 0.5676 | 1468006400 |
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+ | 2.1105 | 0.4804 | 3200 | 2.1158 | 0.5689 | 1677721600 |
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+ | 2.1045 | 0.5404 | 3600 | 2.1090 | 0.5700 | 1887436800 |
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+ | 2.1181 | 0.6004 | 4000 | 2.1045 | 0.5708 | 2097152000 |
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+ | 2.127 | 0.6605 | 4400 | 2.0994 | 0.5716 | 2306867200 |
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+ | 2.1265 | 0.7205 | 4800 | 2.0958 | 0.5719 | 2516582400 |
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+ | 2.0951 | 0.7806 | 5200 | 2.0909 | 0.5728 | 2726297600 |
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+ | 2.0951 | 0.8406 | 5600 | 2.0876 | 0.5733 | 2936012800 |
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+ | 2.1335 | 0.9007 | 6000 | 2.0838 | 0.5739 | 3145728000 |
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+ | 2.0731 | 0.9607 | 6400 | 2.0802 | 0.5744 | 3355443200 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.1
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+ - Pytorch 2.3.0+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
generation_config.json CHANGED
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  {
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- "_from_model_config":true,
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- "max_new_tokens":64,
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- "do_sample":true,
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- "temperature":0.8,
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- "repetition_penalty":1.10,
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- "no_repeat_ngram_size":4,
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- "epsilon_cutoff":0.0006,
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- "renormalize_logits":true,
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- "transformers_version":"4.40.1"
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- }
 
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  {
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+ "_from_model_config": true,
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+ "bos_token_id": 128000,
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+ "do_sample": true,
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+ "eos_token_id": 128001,
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+ "epsilon_cutoff": 0.0006,
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+ "max_new_tokens": 64,
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+ "no_repeat_ngram_size": 4,
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+ "renormalize_logits": true,
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+ "repetition_penalty": 1.1,
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+ "temperature": 0.8,
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+ "transformers_version": "4.40.1"
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+ }
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