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README.md

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+---
+license: other
+base_model: facebook/opt-350m
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- RAY2L/llama3-ultrafeedback-mini
+model-index:
+- name: opt-350m
+  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. -->
+
+# opt-350m
+
+This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the RAY2L/llama3-ultrafeedback-mini dataset.
+
+## 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: 1e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.2.2+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+    "eval_runtime": 15.6751,
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+    "eval_samples_per_second": 12.759,
+    "eval_steps_per_second": 3.19,
+    "eval_weight": 1.0,
+    "total_flos": 0.0,
+    "train_loss": 1.8891444052419355,
+    "train_runtime": 316.7887,
+    "train_samples": 1000,
+    "train_samples_per_second": 3.157,
+    "train_steps_per_second": 0.098
+}

config.json

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+{
+  "_name_or_path": "facebook/opt-350m",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": false,
+  "dropout": 0.1,
+  "enable_bias": true,
+  "eos_token_id": 2,
+  "ffn_dim": 4096,
+  "hidden_size": 1024,
+  "init_std": 0.02,
+  "layer_norm_elementwise_affine": true,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": true,
+  "vocab_size": 50272,
+  "word_embed_proj_dim": 512
+}

eval_results.json

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+    "eval_steps_per_second": 3.19,
+    "eval_weight": 1.0
+}

generation_config.json

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+  "pad_token_id": 1,
+  "transformers_version": "4.41.2"
+}

model.safetensors

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special_tokens_map.json

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tokenizer_config.json

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+}

train_results.json

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trainer_state.json

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