gchhablani
commited on
Commit
•
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Parent(s):
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Add checkpoints
Browse files- README.md +78 -0
- all_results.json +16 -0
- checkpoint-1438/config.json +31 -0
- checkpoint-1438/optimizer.pt +3 -0
- checkpoint-1438/pytorch_model.bin +3 -0
- checkpoint-1438/rng_state.pth +3 -0
- checkpoint-1438/scheduler.pt +3 -0
- checkpoint-1438/special_tokens_map.json +1 -0
- checkpoint-1438/tokenizer.json +0 -0
- checkpoint-1438/tokenizer_config.json +1 -0
- checkpoint-1438/trainer_state.json +33 -0
- checkpoint-1438/training_args.bin +3 -0
- checkpoint-2876/config.json +31 -0
- checkpoint-2876/optimizer.pt +3 -0
- checkpoint-2876/pytorch_model.bin +3 -0
- checkpoint-2876/rng_state.pth +3 -0
- checkpoint-2876/scheduler.pt +3 -0
- checkpoint-2876/special_tokens_map.json +1 -0
- checkpoint-2876/tokenizer.json +0 -0
- checkpoint-2876/tokenizer_config.json +1 -0
- checkpoint-2876/trainer_state.json +50 -0
- checkpoint-2876/training_args.bin +3 -0
- checkpoint-4314/config.json +31 -0
- checkpoint-4314/optimizer.pt +3 -0
- checkpoint-4314/pytorch_model.bin +3 -0
- checkpoint-4314/rng_state.pth +3 -0
- checkpoint-4314/scheduler.pt +3 -0
- checkpoint-4314/special_tokens_map.json +1 -0
- checkpoint-4314/tokenizer.json +0 -0
- checkpoint-4314/tokenizer_config.json +1 -0
- checkpoint-4314/trainer_state.json +67 -0
- checkpoint-4314/training_args.bin +3 -0
- config.json +31 -0
- eval_results.json +11 -0
- pytorch_model.bin +3 -0
- runs/Sep24_18-20-37_patrick-general-gpu/1632507649.2059364/events.out.tfevents.1632507649.patrick-general-gpu.1107165.1 +3 -0
- runs/Sep24_18-20-37_patrick-general-gpu/events.out.tfevents.1632507649.patrick-general-gpu.1107165.0 +3 -0
- runs/Sep24_18-20-37_patrick-general-gpu/events.out.tfevents.1632509035.patrick-general-gpu.1107165.2 +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +76 -0
- training_args.bin +3 -0
README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- spearmanr
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model-index:
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- name: fnet-large-finetuned-stsb
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: GLUE STSB
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type: glue
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args: stsb
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metrics:
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- name: Spearmanr
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type: spearmanr
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value: 0.8532669137129205
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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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# fnet-large-finetuned-stsb
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This model is a fine-tuned version of [google/fnet-large](https://huggingface.co/google/fnet-large) on the GLUE STSB dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6250
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- Pearson: 0.8554
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- Spearmanr: 0.8533
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- Combined Score: 0.8543
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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: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 8
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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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- num_epochs: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Pearson | Spearmanr | Combined Score |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:---------:|:--------------:|
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| 1.0727 | 1.0 | 1438 | 0.7718 | 0.8187 | 0.8240 | 0.8214 |
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| 0.4619 | 2.0 | 2876 | 0.7704 | 0.8472 | 0.8500 | 0.8486 |
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| 0.2401 | 3.0 | 4314 | 0.6250 | 0.8554 | 0.8533 | 0.8543 |
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### Framework versions
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- Transformers 4.11.0.dev0
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- Pytorch 1.9.0
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- Datasets 1.12.1
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- Tokenizers 0.10.3
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all_results.json
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{
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"epoch": 3.0,
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"eval_combined_score": 0.8543492000039965,
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"eval_loss": 0.625028669834137,
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"eval_pearson": 0.8554314862950724,
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"eval_runtime": 32.7479,
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"eval_samples": 1500,
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"eval_samples_per_second": 45.804,
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"eval_spearmanr": 0.8532669137129205,
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"eval_steps_per_second": 5.741,
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"train_loss": 0.5915702214990438,
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"train_runtime": 1352.1371,
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"train_samples": 5749,
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"train_samples_per_second": 12.755,
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"train_steps_per_second": 3.191
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}
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checkpoint-1438/config.json
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{
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"_name_or_path": "google/fnet-large",
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"architectures": [
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"FNetForSequenceClassification"
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],
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"bos_token_id": 1,
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"eos_token_id": 2,
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"finetuning_task": "stsb",
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"LABEL_0": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "fnet",
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"num_hidden_layers": 24,
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"pad_token_id": 3,
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"torch_dtype": "float32",
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"tpu_short_seq_length": 512,
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"transformers_version": "4.11.0.dev0",
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"type_vocab_size": 4,
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"use_tpu_fourier_optimizations": false,
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"vocab_size": 32000
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}
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checkpoint-1438/optimizer.pt
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checkpoint-1438/pytorch_model.bin
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checkpoint-1438/rng_state.pth
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checkpoint-1438/scheduler.pt
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checkpoint-1438/special_tokens_map.json
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{"unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
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checkpoint-1438/tokenizer.json
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checkpoint-1438/tokenizer_config.json
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{"do_lower_case": false, "remove_space": true, "keep_accents": true, "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "sp_model_kwargs": {}, "model_max_length": 512, "special_tokens_map_file": "/home/gunjan/.cache/huggingface/transformers/9a50cd9b3771023230b1128ab5e112461bf36f5826d5f7eb654348e956979a54.a2cfb41d43ad2ac50fa89998bfa88393398e3bb3439ee99e1b00933bce2eb1ba", "name_or_path": "google/fnet-large", "tokenizer_class": "FNetTokenizer"}
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checkpoint-1438/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"log_history": [
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{
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},
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{
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}
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],
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"max_steps": 4314,
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}
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checkpoint-1438/training_args.bin
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checkpoint-2876/config.json
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{
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"_name_or_path": "google/fnet-large",
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"architectures": [
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"FNetForSequenceClassification"
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checkpoint-2876/optimizer.pt
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checkpoint-2876/pytorch_model.bin
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checkpoint-2876/rng_state.pth
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checkpoint-2876/scheduler.pt
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checkpoint-2876/special_tokens_map.json
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{"unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true}}
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checkpoint-2876/tokenizer.json
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checkpoint-2876/tokenizer_config.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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