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tFINE-900m-e16-d32-instruct_2e

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pszemraj amazingvince commited on
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Files changed (16) hide show
  1. .gitattributes +35 -0
  2. README.md +59 -0
  3. added_tokens.json +102 -0
  4. all_results.json +15 -0
  5. config.json +32 -0
  6. eval_results.json +9 -0
  7. generation_config.json +6 -0
  8. lm_harness_results.md +21 -0
  9. model.safetensors +3 -0
  10. special_tokens_map.json +132 -0
  11. tokenizer.json +0 -0
  12. tokenizer.model +3 -0
  13. tokenizer_config.json +952 -0
  14. train_results.json +10 -0
  15. trainer_state.json +0 -0
  16. training_args.bin +3 -0
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README.md ADDED
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+ ---
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+ library_name: transformers
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+ language:
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+ - en
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+ license: apache-2.0
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+ base_model: BEE-spoke-data/tFINE-900m-e16-d32-instruct
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - pszemraj/infinity-instruct-7m-T2T_en
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+ ---
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+
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+
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+ # BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e
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+
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+ > second epoch of fine-tuning on the same dataset w/ different seed
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+
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+
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+ This model is a fine-tuned version of [BEE-spoke-data/tFINE-900m-e16-d32-instruct](https://hf.co/BEE-spoke-data/tFINE-900m-e16-d32-instruct) on the pszemraj/infinity-instruct-7m-T2T_en dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.1159
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+ - Num Input Tokens Seen: 810839096
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+
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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: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 6969
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 8
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.03
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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 | Input Tokens Seen |
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+ |:-------------:|:------:|:-----:|:---------------:|:-----------------:|
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+ | 1.234 | 0.0969 | 2000 | 1.2439 | 78067836 |
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+ | 1.2248 | 0.1938 | 4000 | 1.2256 | 156868756 |
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+ | 1.2024 | 0.2907 | 6000 | 1.2009 | 235148092 |
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+ | 1.2074 | 0.3876 | 8000 | 1.1777 | 313452856 |
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+ | 1.1617 | 0.4845 | 10000 | 1.1597 | 392316428 |
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+ | 1.1755 | 0.5815 | 12000 | 1.1437 | 471101508 |
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+ | 1.1473 | 0.6784 | 14000 | 1.1321 | 549831184 |
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+ | 1.1743 | 0.7753 | 16000 | 1.1244 | 628937800 |
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+ | 1.137 | 0.8722 | 18000 | 1.1179 | 707117360 |
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+ | 1.0713 | 0.9691 | 20000 | 1.1160 | 785755388 |
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+
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+
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+ ## Quick eval
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+
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+ Quick eval for: `BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e`
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+
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+
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+ hf (pretrained=BEE-spoke-data/tFINE-900m-e16-d32-instruct_2e,trust_remote_code=True,dtype=bfloat16,trust_remote_code=True), gen_kwargs: (None), limit: None, num_fewshot: None, batch_size: 8
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+
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+ | Tasks |Version| Filter |n-shot| Metric | |Value | |Stderr|
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+ |-------------|------:|----------------|-----:|-----------|---|-----:|---|------|
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+ |boolq | 2|none | 0|acc |↑ |0.6254|± |0.0085|
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+ |piqa | 1|none | 0|acc |↑ |0.6072|± |0.0114|
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+ | | |none | 0|acc_norm |↑ |0.5996|± |0.0114|
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+ |social_iqa | 0|none | 0|acc |↑ |0.4212|± |0.0112|
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+ |tinyArc | 0|none | 25|acc_norm |↑ |0.2998|± | N/A|
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+ |tinyGSM8k | 0|flexible-extract| 5|exact_match|↑ |0.0605|± | N/A|
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+ | | |strict-match | 5|exact_match|↑ |0.0432|± | N/A|
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+ |tinyHellaswag| 0|none | 10|acc_norm |↑ |0.2969|± | N/A|
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+ |tinyMMLU | 0|none | 0|acc_norm |↑ |0.3120|± | N/A|
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+ |winogrande | 1|none | 0|acc |↑ |0.4964|± |0.0141|
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