Training in progress, epoch 0

README.md

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+---
+license: apache-2.0
+base_model: alignment-handbook/zephyr-7b-sft-full
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- argilla/10k_prompts_SPIN_iter0_zephyr_top
+model-index:
+- name: outputs
+  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. -->
+
+# outputs
+
+This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the argilla/10k_prompts_SPIN_iter0_zephyr_top dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2359
+- Rewards/real: 1.3255
+- Rewards/generated: -0.8966
+- Rewards/accuracies: 0.9792
+- Rewards/margins: 2.2221
+- Logps/generated: -309.8145
+- Logps/real: -304.9670
+- Logits/generated: -2.7558
+- Logits/real: -2.7547
+
+## 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: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- total_eval_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rewards/real | Rewards/generated | Rewards/accuracies | Rewards/margins | Logps/generated | Logps/real | Logits/generated | Logits/real |
+|:-------------:|:-----:|:----:|:---------------:|:------------:|:-----------------:|:------------------:|:---------------:|:---------------:|:----------:|:----------------:|:-----------:|
+| 0.3011        | 0.96  | 25   | 0.2442          | 1.1606       | -0.9851           | 0.9792             | 2.1457          | -310.6989       | -306.6157  | -2.7644          | -2.7641     |
+| 0.0376        | 1.92  | 50   | 0.2359          | 1.3255       | -0.8966           | 0.9792             | 2.2221          | -309.8145       | -304.9670  | -2.7558          | -2.7547     |
+
+
+### Framework versions
+
+- Transformers 4.37.0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 2.0,
+    "train_loss": 0.2113667087486157,
+    "train_runtime": 1162.1581,
+    "train_samples": 1648,
+    "train_samples_per_second": 2.836,
+    "train_steps_per_second": 0.045
+}

config.json

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+{
+  "_name_or_path": "plaguss/zephyr-7b-spin-iter0-v0",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.37.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.37.0"
+}

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