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- FacebookAI/roberta_base_amazon/README.md +76 -0
- FacebookAI/roberta_base_amazon/all_results.json +23 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/config.json +79 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/merges.txt +0 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/model.safetensors +3 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/optimizer.pt +3 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/rng_state_0.pth +3 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/rng_state_1.pth +3 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/scheduler.pt +3 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/special_tokens_map.json +15 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/tokenizer.json +0 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/tokenizer_config.json +57 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/trainer_state.json +527 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/training_args.bin +3 -0
- FacebookAI/roberta_base_amazon/checkpoint-550/vocab.json +0 -0
- FacebookAI/roberta_base_amazon/config.json +79 -0
- FacebookAI/roberta_base_amazon/eval_results.json +11 -0
- FacebookAI/roberta_base_amazon/merges.txt +0 -0
- FacebookAI/roberta_base_amazon/model.safetensors +3 -0
- FacebookAI/roberta_base_amazon/run.log +4 -0
- FacebookAI/roberta_base_amazon/special_tokens_map.json +15 -0
- FacebookAI/roberta_base_amazon/test_results.json +10 -0
- FacebookAI/roberta_base_amazon/tokenizer.json +0 -0
- FacebookAI/roberta_base_amazon/tokenizer_config.json +57 -0
- FacebookAI/roberta_base_amazon/train_results.json +8 -0
- FacebookAI/roberta_base_amazon/trainer_state.json +550 -0
- FacebookAI/roberta_base_amazon/training_args.bin +3 -0
- FacebookAI/roberta_base_amazon/vocab.json +0 -0
- FacebookAI/roberta_base_ledgar/README.md +93 -0
- FacebookAI/roberta_base_ledgar/all_results.json +23 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/config.json +233 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/merges.txt +0 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/model.safetensors +3 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/optimizer.pt +3 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/rng_state_0.pth +3 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/rng_state_1.pth +3 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/scheduler.pt +3 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/special_tokens_map.json +15 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/tokenizer.json +0 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/tokenizer_config.json +57 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/trainer_state.json +1113 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/training_args.bin +3 -0
- FacebookAI/roberta_base_ledgar/checkpoint-2800/vocab.json +0 -0
- FacebookAI/roberta_base_ledgar/config.json +233 -0
- FacebookAI/roberta_base_ledgar/eval_results.json +11 -0
- FacebookAI/roberta_base_ledgar/merges.txt +0 -0
- FacebookAI/roberta_base_ledgar/model.safetensors +3 -0
- FacebookAI/roberta_base_ledgar/run.log +4 -0
- FacebookAI/roberta_base_ledgar/special_tokens_map.json +15 -0
- FacebookAI/roberta_base_ledgar/test_results.json +10 -0
FacebookAI/roberta_base_amazon/README.md
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---
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license: mit
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base_model: FacebookAI/roberta-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: roberta_base_amazon
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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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# roberta_base_amazon
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This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6847
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- Accuracy: 0.8057
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- F1 Macro: 0.7452
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- F1 Micro: 0.8057
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 64
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- total_eval_batch_size: 64
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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 | Accuracy | F1 Macro | F1 Micro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
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| 2.0556 | 0.26 | 50 | 1.7788 | 0.6166 | 0.4632 | 0.6166 |
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| 1.2395 | 0.53 | 100 | 1.1504 | 0.7141 | 0.6033 | 0.7141 |
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| 0.9724 | 0.79 | 150 | 0.9645 | 0.7385 | 0.6450 | 0.7385 |
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| 0.8878 | 1.05 | 200 | 0.8704 | 0.7734 | 0.7001 | 0.7734 |
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| 0.7261 | 1.32 | 250 | 0.8159 | 0.7767 | 0.7188 | 0.7767 |
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| 0.8083 | 1.58 | 300 | 0.7718 | 0.7879 | 0.7241 | 0.7879 |
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| 0.7209 | 1.84 | 350 | 0.7307 | 0.7997 | 0.7414 | 0.7997 |
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| 0.6535 | 2.11 | 400 | 0.7205 | 0.8043 | 0.7452 | 0.8043 |
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| 0.6283 | 2.37 | 450 | 0.7047 | 0.8090 | 0.7498 | 0.8090 |
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| 0.5214 | 2.63 | 500 | 0.6879 | 0.8109 | 0.7541 | 0.8109 |
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| 0.5808 | 2.89 | 550 | 0.6847 | 0.8057 | 0.7452 | 0.8057 |
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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FacebookAI/roberta_base_amazon/all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.80566534914361,
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"eval_f1_macro": 0.7451626163175262,
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"eval_f1_micro": 0.80566534914361,
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"eval_loss": 0.6847230792045593,
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"eval_runtime": 1.4571,
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"eval_samples": 1518,
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"eval_samples_per_second": 1041.828,
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"eval_steps_per_second": 16.472,
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"test_accuracy": 0.8326745718050066,
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"test_f1_macro": 0.7741381548752201,
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"test_f1_micro": 0.8326745718050066,
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"test_loss": 0.6433278322219849,
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"test_runtime": 1.4562,
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"test_samples_per_second": 1042.471,
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"test_steps_per_second": 16.482,
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"train_loss": 0.9787228534096166,
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"train_runtime": 143.678,
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"train_samples": 12144,
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"train_samples_per_second": 253.567,
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"train_steps_per_second": 3.967
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}
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FacebookAI/roberta_base_amazon/checkpoint-550/config.json
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{
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"_name_or_path": "FacebookAI/roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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"hidden_act": "gelu",
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.39.0.dev0",
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"use_cache": true,
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}
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FacebookAI/roberta_base_amazon/checkpoint-550/merges.txt
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FacebookAI/roberta_base_amazon/checkpoint-550/model.safetensors
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FacebookAI/roberta_base_amazon/checkpoint-550/optimizer.pt
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FacebookAI/roberta_base_amazon/checkpoint-550/rng_state_0.pth
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FacebookAI/roberta_base_amazon/checkpoint-550/rng_state_1.pth
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FacebookAI/roberta_base_amazon/checkpoint-550/special_tokens_map.json
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FacebookAI/roberta_base_amazon/checkpoint-550/tokenizer.json
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FacebookAI/roberta_base_amazon/checkpoint-550/tokenizer_config.json
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FacebookAI/roberta_base_amazon/model.safetensors
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FacebookAI/roberta_base_amazon/run.log
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03/15/2024 10:50:38 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, 16-bits training: False
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03/15/2024 10:50:38 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, 16-bits training: False
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03/15/2024 10:50:41 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
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03/15/2024 10:50:43 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
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FacebookAI/roberta_base_amazon/special_tokens_map.json
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FacebookAI/roberta_base_amazon/tokenizer_config.json
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FacebookAI/roberta_base_amazon/vocab.json
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The diff for this file is too large to render.
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FacebookAI/roberta_base_ledgar/README.md
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|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
base_model: FacebookAI/roberta-base
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
metrics:
|
7 |
+
- accuracy
|
8 |
+
model-index:
|
9 |
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- name: roberta_base_ledgar
|
10 |
+
results: []
|
11 |
+
---
|
12 |
+
|
13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
14 |
+
should probably proofread and complete it, then remove this comment. -->
|
15 |
+
|
16 |
+
# roberta_base_ledgar
|
17 |
+
|
18 |
+
This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
|
19 |
+
It achieves the following results on the evaluation set:
|
20 |
+
- Loss: 0.6144
|
21 |
+
- Accuracy: 0.8449
|
22 |
+
- F1 Macro: 0.7396
|
23 |
+
- F1 Micro: 0.8449
|
24 |
+
|
25 |
+
## Model description
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Intended uses & limitations
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training and evaluation data
|
34 |
+
|
35 |
+
More information needed
|
36 |
+
|
37 |
+
## Training procedure
|
38 |
+
|
39 |
+
### Training hyperparameters
|
40 |
+
|
41 |
+
The following hyperparameters were used during training:
|
42 |
+
- learning_rate: 2e-05
|
43 |
+
- train_batch_size: 32
|
44 |
+
- eval_batch_size: 32
|
45 |
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- seed: 42
|
46 |
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- distributed_type: multi-GPU
|
47 |
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- num_devices: 2
|
48 |
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- total_train_batch_size: 64
|
49 |
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- total_eval_batch_size: 64
|
50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
51 |
+
- lr_scheduler_type: linear
|
52 |
+
- num_epochs: 3.0
|
53 |
+
|
54 |
+
### Training results
|
55 |
+
|
56 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | F1 Micro |
|
57 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:--------:|
|
58 |
+
| 3.1205 | 0.11 | 100 | 2.7420 | 0.5459 | 0.2772 | 0.5459 |
|
59 |
+
| 2.0491 | 0.21 | 200 | 1.8506 | 0.6623 | 0.3967 | 0.6623 |
|
60 |
+
| 1.6304 | 0.32 | 300 | 1.4552 | 0.722 | 0.4953 | 0.722 |
|
61 |
+
| 1.3418 | 0.43 | 400 | 1.2101 | 0.7574 | 0.5559 | 0.7574 |
|
62 |
+
| 1.2156 | 0.53 | 500 | 1.0701 | 0.7728 | 0.5868 | 0.7728 |
|
63 |
+
| 1.0994 | 0.64 | 600 | 0.9578 | 0.7922 | 0.6223 | 0.7922 |
|
64 |
+
| 0.9857 | 0.75 | 700 | 0.8957 | 0.7968 | 0.6274 | 0.7968 |
|
65 |
+
| 0.9507 | 0.85 | 800 | 0.8474 | 0.7999 | 0.6368 | 0.7999 |
|
66 |
+
| 0.8734 | 0.96 | 900 | 0.7990 | 0.814 | 0.6675 | 0.814 |
|
67 |
+
| 0.7802 | 1.07 | 1000 | 0.7788 | 0.8128 | 0.6606 | 0.8128 |
|
68 |
+
| 0.7869 | 1.17 | 1100 | 0.7537 | 0.8178 | 0.6742 | 0.8178 |
|
69 |
+
| 0.8341 | 1.28 | 1200 | 0.7309 | 0.8232 | 0.6881 | 0.8232 |
|
70 |
+
| 0.7372 | 1.39 | 1300 | 0.7157 | 0.8219 | 0.6876 | 0.8219 |
|
71 |
+
| 0.661 | 1.49 | 1400 | 0.7058 | 0.8224 | 0.6941 | 0.8224 |
|
72 |
+
| 0.6932 | 1.6 | 1500 | 0.6944 | 0.8258 | 0.6981 | 0.8258 |
|
73 |
+
| 0.7305 | 1.71 | 1600 | 0.6807 | 0.8292 | 0.7058 | 0.8292 |
|
74 |
+
| 0.6952 | 1.81 | 1700 | 0.6627 | 0.8291 | 0.7066 | 0.8291 |
|
75 |
+
| 0.6583 | 1.92 | 1800 | 0.6509 | 0.8322 | 0.7086 | 0.8322 |
|
76 |
+
| 0.6157 | 2.03 | 1900 | 0.6487 | 0.8321 | 0.7120 | 0.8321 |
|
77 |
+
| 0.5817 | 2.13 | 2000 | 0.6429 | 0.8347 | 0.7164 | 0.8347 |
|
78 |
+
| 0.6002 | 2.24 | 2100 | 0.6375 | 0.836 | 0.7202 | 0.836 |
|
79 |
+
| 0.5786 | 2.35 | 2200 | 0.6344 | 0.8401 | 0.7318 | 0.8401 |
|
80 |
+
| 0.595 | 2.45 | 2300 | 0.6276 | 0.8382 | 0.7221 | 0.8382 |
|
81 |
+
| 0.564 | 2.56 | 2400 | 0.6197 | 0.8416 | 0.7353 | 0.8416 |
|
82 |
+
| 0.5404 | 2.67 | 2500 | 0.6157 | 0.8438 | 0.7412 | 0.8438 |
|
83 |
+
| 0.5706 | 2.77 | 2600 | 0.6162 | 0.8418 | 0.7368 | 0.8418 |
|
84 |
+
| 0.5419 | 2.88 | 2700 | 0.6148 | 0.844 | 0.7383 | 0.844 |
|
85 |
+
| 0.5631 | 2.99 | 2800 | 0.6144 | 0.8449 | 0.7396 | 0.8449 |
|
86 |
+
|
87 |
+
|
88 |
+
### Framework versions
|
89 |
+
|
90 |
+
- Transformers 4.39.0.dev0
|
91 |
+
- Pytorch 2.2.1+cu121
|
92 |
+
- Datasets 2.18.0
|
93 |
+
- Tokenizers 0.15.2
|
FacebookAI/roberta_base_ledgar/all_results.json
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"train_steps_per_second": 3.39
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}
|
FacebookAI/roberta_base_ledgar/checkpoint-2800/config.json
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|
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|
189 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
200 |
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|
201 |
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|
202 |
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"84": 83,
|
203 |
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|
204 |
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|
205 |
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|
206 |
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"88": 87,
|
207 |
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"89": 88,
|
208 |
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|
209 |
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|
210 |
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|
211 |
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|
212 |
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"93": 93,
|
213 |
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"94": 94,
|
214 |
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"95": 95,
|
215 |
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"96": 96,
|
216 |
+
"97": 97,
|
217 |
+
"98": 98,
|
218 |
+
"99": 99
|
219 |
+
},
|
220 |
+
"layer_norm_eps": 1e-05,
|
221 |
+
"max_position_embeddings": 514,
|
222 |
+
"model_type": "roberta",
|
223 |
+
"num_attention_heads": 12,
|
224 |
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"num_hidden_layers": 12,
|
225 |
+
"pad_token_id": 1,
|
226 |
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"position_embedding_type": "absolute",
|
227 |
+
"problem_type": "single_label_classification",
|
228 |
+
"torch_dtype": "float32",
|
229 |
+
"transformers_version": "4.39.0.dev0",
|
230 |
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"type_vocab_size": 1,
|
231 |
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"use_cache": true,
|
232 |
+
"vocab_size": 50265
|
233 |
+
}
|
FacebookAI/roberta_base_ledgar/eval_results.json
ADDED
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
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"eval_accuracy": 0.8449,
|
4 |
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"eval_f1_macro": 0.7395952726968685,
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"eval_f1_micro": 0.8449,
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"eval_loss": 0.6143561601638794,
|
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"eval_runtime": 9.1639,
|
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"eval_samples": 10000,
|
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"eval_samples_per_second": 1091.244,
|
10 |
+
"eval_steps_per_second": 17.133
|
11 |
+
}
|
FacebookAI/roberta_base_ledgar/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
FacebookAI/roberta_base_ledgar/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:bd7d587c9be6cbc98a6c736cac35360a08c30af4b024de45e6ed67a70cba8e40
|
3 |
+
size 498914272
|
FacebookAI/roberta_base_ledgar/run.log
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
03/15/2024 17:18:35 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1, distributed training: True, 16-bits training: False
|
2 |
+
03/15/2024 17:18:35 - WARNING - __main__ - Process rank: 1, device: cuda:1, n_gpu: 1, distributed training: True, 16-bits training: False
|
3 |
+
03/15/2024 17:18:38 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
|
4 |
+
03/15/2024 17:18:38 - WARNING - __main__ - The label2id key in the model config.json is not equal to the label2id key of this run. You can ignore this if you are doing finetuning.
|
FacebookAI/roberta_base_ledgar/special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"bos_token": "<s>",
|
3 |
+
"cls_token": "<s>",
|
4 |
+
"eos_token": "</s>",
|
5 |
+
"mask_token": {
|
6 |
+
"content": "<mask>",
|
7 |
+
"lstrip": true,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false
|
11 |
+
},
|
12 |
+
"pad_token": "<pad>",
|
13 |
+
"sep_token": "</s>",
|
14 |
+
"unk_token": "<unk>"
|
15 |
+
}
|
FacebookAI/roberta_base_ledgar/test_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"test_accuracy": 0.8422,
|
4 |
+
"test_f1_macro": 0.7262366446012508,
|
5 |
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"test_f1_micro": 0.8422,
|
6 |
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"test_loss": 0.6262247562408447,
|
7 |
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"test_runtime": 9.3719,
|
8 |
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"test_samples_per_second": 1067.017,
|
9 |
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"test_steps_per_second": 16.752
|
10 |
+
}
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