End of training

README.md

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+---
+license: other
+base_model: facebook/opt-1.3b
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dense_reward_trainer_final_opt__NumTrainEpochs2_SaveStrategiesepoch_reward_modeling_anthropic_hh
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# dense_reward_trainer_final_opt__NumTrainEpochs2_SaveStrategiesepoch_reward_modeling_anthropic_hh
+
+This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6907
+- Accuracy: 0.6825
+- Train Rewards/chosen: -1.8222
+- Train Rewards/rejected: -3.6005
+- Train Rewards/accuracies: 0.8138
+- Train Rewards/margins: 1.7783
+- Train Nll Loss: 2.4635
+- Train  Logit Total Loss: 0.4241
+- Train  Logit Loss: 0.4035
+- Rewards/chosen: -2.0106
+- Rewards/rejected: -3.0639
+- Rewards/accuracies: 0.6657
+- Rewards/margins: 1.0533
+- Nll Loss: 2.4906
+-  Logit Total Loss: 0.6892
+-  Logit Loss: 0.6710
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1.41e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Nll Loss |  Logit Total Loss |  Logit Loss |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------:|:-----------------:|:-----------:|
+| 0.7169        | 0.11  | 100  | 0.6921          | 0.5959   | -1.7367        | -1.8694          | 0.5855             | 0.1326          | 3.0057   | 0.6899            | 0.6665      |
+| 0.7082        | 0.23  | 200  | 0.6978          | 0.5938   | -3.3995        | -3.5818          | 0.5802             | 0.1823          | 3.2073   | 0.6959            | 0.6706      |
+| 0.6744        | 0.34  | 300  | 0.6681          | 0.6062   | -2.3751        | -2.7036          | 0.5956             | 0.3285          | 2.7061   | 0.6656            | 0.6450      |
+| 0.6154        | 0.46  | 400  | 0.6490          | 0.6433   | -1.5136        | -1.9306          | 0.6310             | 0.4171          | 2.8065   | 0.6474            | 0.6256      |
+| 0.6405        | 0.57  | 500  | 0.6573          | 0.6351   | -1.4041        | -1.8257          | 0.6226             | 0.4216          | 2.6995   | 0.6577            | 0.6371      |
+| 0.6284        | 0.69  | 600  | 0.6448          | 0.6557   | -2.3215        | -2.7092          | 0.6440             | 0.3877          | 2.6968   | 0.6433            | 0.6225      |
+| 0.6399        | 0.8   | 700  | 0.6454          | 0.6227   | -2.0755        | -2.4642          | 0.6125             | 0.3887          | 2.8089   | 0.6435            | 0.6217      |
+| 0.669         | 0.91  | 800  | 0.6385          | 0.6474   | -1.7053        | -2.1240          | 0.6379             | 0.4187          | 2.6687   | 0.6350            | 0.6145      |
+| 0.4788        | 1.03  | 900  | 0.6636          | 0.6577   | -2.1522        | -2.8529          | 0.6435             | 0.7007          | 2.5723   | 0.6620            | 0.6427      |
+| 0.4529        | 1.14  | 1000 | 0.6938          | 0.6577   | -1.1456        | -2.0167          | 0.6488             | 0.8712          | 2.5628   | 0.6897            | 0.6708      |
+| 0.4378        | 1.26  | 1100 | 0.7319          | 0.6536   | -1.4771        | -2.4829          | 0.6427             | 1.0058          | 2.5495   | 0.7282            | 0.7098      |
+| 0.4496        | 1.37  | 1200 | 0.7034          | 0.6660   | -2.6046        | -3.5817          | 0.6524             | 0.9771          | 2.5483   | 0.7006            | 0.6819      |
+| 0.3539        | 1.49  | 1300 | 0.7023          | 0.6598   | -2.2279        | -3.2122          | 0.6516             | 0.9842          | 2.5144   | 0.6963            | 0.6780      |
+| 0.5494        | 1.6   | 1400 | 0.6784          | 0.6536   | -2.3300        | -3.3018          | 0.6435             | 0.9718          | 2.4946   | 0.6749            | 0.6565      |
+| 0.4075        | 1.71  | 1500 | 0.6935          | 0.6948   | -0.9575        | -2.0411          | 0.6843             | 1.0836          | 2.4900   | 0.6884            | 0.6702      |
+| 0.4789        | 1.83  | 1600 | 0.6941          | 0.6598   | -2.1270        | -3.1756          | 0.6496             | 1.0487          | 2.5026   | 0.6924            | 0.6741      |
+| 0.4093        | 1.94  | 1700 | 0.6907          | 0.6825   | -2.0106        | -3.0639          | 0.6657             | 1.0533          | 2.4906   | 0.6892            | 0.6710      |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.15.2

config.json

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+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForSequenceClassification"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "enable_bias": true,
+  "eos_token_id": 2,
+  "ffn_dim": 8192,
+  "hidden_size": 2048,
+  "id2label": {
+    "0": "LABEL_0"
+  },
+  "init_std": 0.02,
+  "label2id": {
+    "LABEL_0": 0
+  },
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "torch_dtype": "float32",
+  "transformers_version": "4.37.2",
+  "use_cache": true,
+  "vocab_size": 50272,
+  "word_embed_proj_dim": 2048
+}

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special_tokens_map.json

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+{
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+    "normalized": true,
+    "rstrip": false,
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+}

tokenizer_config.json

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+  "pad_token": "<pad>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "</s>"
+}

training_args.bin

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