test-push
Browse files- README.md +69 -0
- config.json +33 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
- runs/Jan08_08-01-44_1208-053041-mr9ogn62-10-215-160-11/events.out.tfevents.1704700910.1208-053041-mr9ogn62-10-215-160-11.3018.0 +3 -0
- runs/Jan08_08-01-44_1208-053041-mr9ogn62-10-215-160-11/events.out.tfevents.1704700967.1208-053041-mr9ogn62-10-215-160-11.3018.1 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: cc-by-nc-4.0
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base_model: grammarly/coedit-large
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tags:
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- generated_from_trainer
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metrics:
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- rouge
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model-index:
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- name: chayankb_model_checkpoints
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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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# chayankb_model_checkpoints
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This model is a fine-tuned version of [grammarly/coedit-large](https://huggingface.co/grammarly/coedit-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6451
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- Rouge1: 42.0175
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- Rouge2: 22.1212
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- Rougel: 42.0175
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- Rougelsum: 42.0175
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- Gen Len: 19.0
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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-05
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- train_batch_size: 8
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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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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| No log | 1.0 | 1 | 0.6473 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 |
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| No log | 2.0 | 2 | 0.6451 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 |
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| No log | 3.0 | 3 | 0.6460 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 |
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| No log | 4.0 | 4 | 0.6457 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 |
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| No log | 5.0 | 5 | 0.6458 | 42.0175 | 22.1212 | 42.0175 | 42.0175 | 19.0 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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config.json
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{
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"_name_or_path": "grammarly/coedit-large",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 2816,
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"d_kv": 64,
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"d_model": 1024,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 24,
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"num_heads": 16,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 32100
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}
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1aca9f7f2755d0875d72d3daf50d0dbb55c9e4d11e3181837edd1ac869700dd
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size 3132439432
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runs/Jan08_08-01-44_1208-053041-mr9ogn62-10-215-160-11/events.out.tfevents.1704700910.1208-053041-mr9ogn62-10-215-160-11.3018.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:3953bf28affd2a2d6f26046b2148a3baaacab2ff95dfbbf045981542e022c189
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size 7543
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runs/Jan08_08-01-44_1208-053041-mr9ogn62-10-215-160-11/events.out.tfevents.1704700967.1208-053041-mr9ogn62-10-215-160-11.3018.1
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version https://git-lfs.github.com/spec/v1
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size 603
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:66ef466ef18b0ed59526f3de2389d9a8fe4cffdb46a6075966c5781d7b8ee442
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size 4792
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