Model save
Browse files- README.md +72 -0
- generation_config.json +14 -0
- model.safetensors +1 -1
- runs/Feb22_09-47-02_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1708608172.ip-10-0-3-5.eu-west-1.compute.internal.12590.0 +2 -2
- runs/Feb23_13-52-34_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1708696376.ip-10-0-3-5.eu-west-1.compute.internal.11543.0 +3 -0
- training_args.bin +1 -1
README.md
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---
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base_model: nadsoft/hamsa_small
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: hamsa-small-finetuned-qasr
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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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# hamsa-small-finetuned-qasr
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This model is a fine-tuned version of [nadsoft/hamsa_small](https://huggingface.co/nadsoft/hamsa_small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2832
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- Wer: 21.0114
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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: 1e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 7500
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|
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| 0.3207 | 0.03 | 2500 | 0.3458 | 24.4928 |
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| 0.3264 | 0.05 | 5000 | 0.3316 | 23.4082 |
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| 0.3223 | 0.08 | 7500 | 0.3239 | 25.1050 |
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| 0.3121 | 0.1 | 10000 | 0.3143 | 23.4557 |
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| 0.3103 | 0.13 | 12500 | 0.3079 | 23.4296 |
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| 0.3041 | 0.15 | 15000 | 0.3033 | 23.2113 |
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| 0.3077 | 0.18 | 17500 | 0.2998 | 21.7091 |
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| 0.2867 | 0.2 | 20000 | 0.2943 | 20.1761 |
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| 0.265 | 0.23 | 22500 | 0.2921 | 21.6522 |
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| 0.3096 | 0.25 | 25000 | 0.2894 | 22.1505 |
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| 0.2813 | 0.28 | 27500 | 0.2863 | 22.4993 |
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| 0.2805 | 0.3 | 30000 | 0.2832 | 21.0114 |
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### Framework versions
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- Transformers 4.37.0.dev0
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- Pytorch 2.1.2+cu121
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- Datasets 2.16.2.dev0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"_from_model_config": true,
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"begin_suppress_tokens": [
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220,
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50257
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],
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"bos_token_id": 50257,
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"decoder_start_token_id": 50258,
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"eos_token_id": 50257,
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"max_length": 448,
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"pad_token_id": 50257,
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"transformers_version": "4.37.0.dev0",
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"use_cache": false
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}
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model.safetensors
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runs/Feb22_09-47-02_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1708608172.ip-10-0-3-5.eu-west-1.compute.internal.12590.0
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runs/Feb23_13-52-34_ip-10-0-3-5.eu-west-1.compute.internal/events.out.tfevents.1708696376.ip-10-0-3-5.eu-west-1.compute.internal.11543.0
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training_args.bin
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