Model save
Browse files- README.md +59 -0
- all_results.json +8 -0
- runs/Apr10_15-55-51_ip-26-0-161-78/events.out.tfevents.1712764896.ip-26-0-161-78.3320890.0 +3 -0
- runs/Apr10_16-59-50_ip-26-0-163-226/events.out.tfevents.1712768751.ip-26-0-163-226.3229494.0 +3 -0
- runs/Apr10_17-24-41_ip-26-0-171-230/events.out.tfevents.1712770137.ip-26-0-171-230.599304.0 +3 -0
- runs/Apr10_17-51-26_ip-26-0-160-100/events.out.tfevents.1712771849.ip-26-0-160-100.3551619.0 +3 -0
- runs/Apr10_18-13-54_ip-26-0-165-38/events.out.tfevents.1712773202.ip-26-0-165-38.2582152.0 +3 -0
- runs/Apr10_18-24-34_ip-26-0-165-38/events.out.tfevents.1712773732.ip-26-0-165-38.2584151.0 +3 -0
- runs/Apr10_19-03-29_ip-26-0-169-247/events.out.tfevents.1712776302.ip-26-0-169-247.3774585.0 +3 -0
- runs/Apr10_19-21-46_ip-26-0-167-245/events.out.tfevents.1712777451.ip-26-0-167-245.2282940.0 +3 -0
- runs/Apr10_19-36-14_ip-26-0-162-79/events.out.tfevents.1712778153.ip-26-0-162-79.1673127.0 +3 -0
- train_results.json +8 -0
- trainer_state.json +1200 -0
README.md
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---
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license: apache-2.0
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base_model: mistral-community/Mixtral-8x22B-v0.1
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tags:
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- trl
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- orpo
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- generated_from_trainer
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model-index:
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- name: Mixtral-8x22B-capybara-v0.1
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results: []
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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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# Mixtral-8x22B-capybara-v0.1
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This model is a fine-tuned version of [mistral-community/Mixtral-8x22B-v0.1](https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 32
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- total_train_batch_size: 32
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- total_eval_batch_size: 256
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: inverse_sqrt
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 3
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### Training results
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.1
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all_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.0000138937419827,
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"train_runtime": 4770.0198,
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"train_samples": 6932,
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"train_samples_per_second": 4.36,
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"train_steps_per_second": 0.136
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}
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runs/Apr10_15-55-51_ip-26-0-161-78/events.out.tfevents.1712764896.ip-26-0-161-78.3320890.0
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size 5178
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runs/Apr10_16-59-50_ip-26-0-163-226/events.out.tfevents.1712768751.ip-26-0-163-226.3229494.0
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runs/Apr10_17-24-41_ip-26-0-171-230/events.out.tfevents.1712770137.ip-26-0-171-230.599304.0
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runs/Apr10_17-51-26_ip-26-0-160-100/events.out.tfevents.1712771849.ip-26-0-160-100.3551619.0
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runs/Apr10_18-13-54_ip-26-0-165-38/events.out.tfevents.1712773202.ip-26-0-165-38.2582152.0
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runs/Apr10_18-24-34_ip-26-0-165-38/events.out.tfevents.1712773732.ip-26-0-165-38.2584151.0
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runs/Apr10_19-03-29_ip-26-0-169-247/events.out.tfevents.1712776302.ip-26-0-169-247.3774585.0
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runs/Apr10_19-21-46_ip-26-0-167-245/events.out.tfevents.1712777451.ip-26-0-167-245.2282940.0
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runs/Apr10_19-36-14_ip-26-0-162-79/events.out.tfevents.1712778153.ip-26-0-162-79.1673127.0
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version https://git-lfs.github.com/spec/v1
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.0000138937419827,
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"train_runtime": 4770.0198,
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"train_samples": 6932,
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"train_samples_per_second": 4.36,
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"train_steps_per_second": 0.136
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}
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trainer_state.json
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