amazingvince
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End of training
Browse files- README.md +5 -3
- all_results.json +15 -0
- eval_results.json +9 -0
- train_results.json +10 -0
- trainer_state.json +0 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: BEE-spoke-data/tFINE-900m-e16-d32-flan
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tags:
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# tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024
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This model is a fine-tuned version of [BEE-spoke-data/tFINE-900m-e16-d32-flan](https://huggingface.co/BEE-spoke-data/tFINE-900m-e16-d32-flan) on
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Num Input Tokens Seen:
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## Model description
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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-flan
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tags:
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# tFINE-900m-e16-d32-flan-infinity-instruct-7m-T2T_en-1024
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This model is a fine-tuned version of [BEE-spoke-data/tFINE-900m-e16-d32-flan](https://huggingface.co/BEE-spoke-data/tFINE-900m-e16-d32-flan) 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: 1.3588
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- Num Input Tokens Seen: 810173896
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## Model description
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all_results.json
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{
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"epoch": 0.9999939429547479,
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"eval_loss": 1.3588026762008667,
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"eval_runtime": 4.302,
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"eval_samples": 150,
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"eval_samples_per_second": 34.868,
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"eval_steps_per_second": 4.417,
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"num_input_tokens_seen": 810173896,
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"total_flos": 4.073925813718745e+18,
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"train_loss": 1.2524831550218467,
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"train_runtime": 185903.2881,
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"train_samples": 2641546,
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"train_samples_per_second": 14.209,
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"train_steps_per_second": 0.111
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}
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eval_results.json
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{
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"epoch": 0.9999939429547479,
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"eval_loss": 1.3588026762008667,
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"eval_runtime": 4.302,
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"eval_samples": 150,
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"eval_samples_per_second": 34.868,
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"eval_steps_per_second": 4.417,
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"num_input_tokens_seen": 810173896
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}
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train_results.json
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{
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"epoch": 0.9999939429547479,
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"num_input_tokens_seen": 810173896,
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"total_flos": 4.073925813718745e+18,
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"train_loss": 1.2524831550218467,
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"train_runtime": 185903.2881,
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"train_samples": 2641546,
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"train_samples_per_second": 14.209,
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"train_steps_per_second": 0.111
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}
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trainer_state.json
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