Training in progress, step 10
Browse files- README.md +18 -18
- adapter_model.safetensors +1 -1
- all_results.json +18 -18
- eval_results.json +14 -14
- runs/Jan16_18-26-13_uclaml03.cs.ucla.edu/events.out.tfevents.1705458649.uclaml03.cs.ucla.edu.3233811.0 +3 -0
- runs/Jan16_18-33-25_uclaml03.cs.ucla.edu/events.out.tfevents.1705459079.uclaml03.cs.ucla.edu.3238149.0 +3 -0
- train_results.json +4 -4
- trainer_state.json +1500 -124
- training_args.bin +2 -2
README.md
CHANGED
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@@ -15,17 +15,17 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: 0.
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- Rewards/rejected: -0.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logps/chosen: -
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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- Use Label:
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- Pred Label:
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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-
- train_batch_size:
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices:
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- gradient_accumulation_steps:
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- total_train_batch_size: 64
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- total_eval_batch_size:
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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_ratio: 0.1
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### Training results
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-
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label
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-
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| 0.
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### Framework versions
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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| 17 |
It achieves the following results on the evaluation set:
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| 18 |
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- Loss: 0.6351
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| 19 |
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- Rewards/chosen: 0.0300
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| 20 |
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- Rewards/rejected: -0.0335
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+
- Rewards/accuracies: 0.6200
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| 22 |
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- Rewards/margins: 0.0635
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| 23 |
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- Logps/rejected: -250.2864
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- Logps/chosen: -272.9344
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- Logits/rejected: -2.5200
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- Logits/chosen: -2.5063
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- Use Label: 7566.9282
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- Pred Label: 8465.0723
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 5e-07
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 4
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 64
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- total_eval_batch_size: 16
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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_ratio: 0.1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Use Label | Pred Label |
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+
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:---------:|:----------:|
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+
| 0.6403 | 1.0 | 955 | 0.6351 | 0.0300 | -0.0335 | 0.6200 | 0.0635 | -250.2864 | -272.9344 | -2.5200 | -2.5063 | 7400.9282 | 8131.0718 |
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 109086672
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size 109086672
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all_results.json
CHANGED
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{
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"eval_rewards/margins": 0.
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"eval_runtime":
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"eval_samples": 2000,
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"eval_use_label":
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"train_loss": 0.
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"train_runtime":
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"train_samples": 61135,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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}
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.5062618255615234,
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"eval_logits/rejected": -2.5199859142303467,
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"eval_logps/chosen": -272.93438720703125,
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| 6 |
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"eval_logps/rejected": -250.28643798828125,
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| 7 |
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"eval_loss": 0.6350826025009155,
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| 8 |
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"eval_pred_label": 8465.072265625,
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| 9 |
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"eval_rewards/accuracies": 0.6200000047683716,
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"eval_rewards/chosen": 0.029984984546899796,
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| 11 |
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"eval_rewards/margins": 0.06345725804567337,
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"eval_rewards/rejected": -0.033472273498773575,
|
| 13 |
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"eval_runtime": 446.4868,
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| 14 |
"eval_samples": 2000,
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"eval_samples_per_second": 4.479,
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"eval_steps_per_second": 0.28,
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"eval_use_label": 7566.92822265625,
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"train_loss": 0.6552608817035616,
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"train_runtime": 24261.6882,
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"train_samples": 61135,
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"train_samples_per_second": 2.52,
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"train_steps_per_second": 0.039
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}
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eval_results.json
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{
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"eval_pred_label":
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"eval_rewards/accuracies": 0.
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"eval_rewards/margins": 0.
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"eval_rewards/rejected": -0.
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"eval_runtime":
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"eval_samples": 2000,
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"eval_use_label":
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}
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{
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"epoch": 1.0,
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"eval_logits/chosen": -2.5062618255615234,
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"eval_logits/rejected": -2.5199859142303467,
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"eval_logps/chosen": -272.93438720703125,
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"eval_logps/rejected": -250.28643798828125,
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| 7 |
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"eval_loss": 0.6350826025009155,
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| 8 |
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"eval_pred_label": 8465.072265625,
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| 9 |
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"eval_rewards/accuracies": 0.6200000047683716,
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| 10 |
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"eval_rewards/chosen": 0.029984984546899796,
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"eval_rewards/margins": 0.06345725804567337,
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"eval_rewards/rejected": -0.033472273498773575,
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"eval_runtime": 446.4868,
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| 14 |
"eval_samples": 2000,
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| 15 |
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"eval_samples_per_second": 4.479,
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| 16 |
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"eval_steps_per_second": 0.28,
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| 17 |
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"eval_use_label": 7566.92822265625
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}
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runs/Jan16_18-26-13_uclaml03.cs.ucla.edu/events.out.tfevents.1705458649.uclaml03.cs.ucla.edu.3233811.0
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size 4319
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runs/Jan16_18-33-25_uclaml03.cs.ucla.edu/events.out.tfevents.1705459079.uclaml03.cs.ucla.edu.3238149.0
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version https://git-lfs.github.com/spec/v1
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size 4319
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train_results.json
CHANGED
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@@ -1,8 +1,8 @@
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{
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"epoch": 1.0,
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-
"train_loss": 0.
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"train_runtime":
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"train_samples": 61135,
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{
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| 5 |
"train_samples": 61135,
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| 6 |
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"train_samples_per_second": 2.52,
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"train_steps_per_second": 0.039
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}
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trainer_state.json
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@@ -11,10 +11,10 @@
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{
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"epoch": 0.0,
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"learning_rate": 5.208333333333333e-09,
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| 14 |
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| 15 |
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"logits/rejected": -2.
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| 16 |
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"loss": 0.6931,
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| 20 |
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@@ -22,184 +22,1560 @@
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| 25 |
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},
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{
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"epoch": 0.1,
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"learning_rate": 4.976717112922002e-07,
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| 30 |
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| 31 |
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| 42 |
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| 43 |
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| 44 |
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| 45 |
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| 50 |
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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 70 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 90 |
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|
| 91 |
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|
| 93 |
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| 104 |
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| 105 |
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| 106 |
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|
| 107 |
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| 108 |
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|
| 109 |
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