Training in progress, step 180, checkpoint

checkpoint-180/README.md

@@ -0,0 +1,202 @@
+---
+library_name: peft
+base_model: mistralai/Mistral-7B-Instruct-v0.2
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.10.0

checkpoint-180/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "mistralai/Mistral-7B-Instruct-v0.2",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "v_proj",
+    "gate_proj",
+    "k_proj",
+    "q_proj",
+    "o_proj",
+    "down_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

checkpoint-180/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d29194adc1dac0a610b8e325c33a9d236dbfb28d4b84de47a8cbdc6f3c4fb96a
+size 335604696

checkpoint-180/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9ee81e0ee33e3e64fd3e2f4c522c2989a1a77102165e329b057b5b37d1b15813
+size 671467538

checkpoint-180/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de1aeabb75d9d9de7be7484dc15f765750e791cb301c5f2e57ea3d205760e217
+size 15024

checkpoint-180/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0995f92cab42674c26076a095c559f12f14f60644107bfcb136932bbeb87498a
+size 15024

checkpoint-180/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91bb784579ae37ddae5e33c8e72b2ae6343d2c5d2fcb25313bb8ef7adc9f792d
+size 15024

checkpoint-180/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c290a595fbf2e7d34534d7a18a202901d3bfb976c9d5fcdc64597e15f3c47d3
+size 15024

checkpoint-180/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:477f20ccfdc5fc4d71d75ad72dbf1b2bab52252ba891fb0ab7f4aa92a28f5fe0
+size 1000

checkpoint-180/special_tokens_map.json

@@ -0,0 +1,24 @@
+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<unk>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-180/tokenizer.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
+size 493443

checkpoint-180/tokenizer_config.json

@@ -0,0 +1,45 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [],
+  "bos_token": "<s>",
+  "chat_template": "{% for message in messages %}{% if message['role'] == 'user' %}{{ bos_token + '[INST] ' + message['content'] + ' [/INST]' }}{% elif message['role'] == 'system' %}{{ '<<SYS>>\\n' + message['content'] + '\\n<</SYS>>\\n\\n' }}{% elif message['role'] == 'assistant' %}{{ ' '  + message['content'] + ' ' + eos_token }}{% endif %}{% endfor %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "legacy": true,
+  "max_length": 8192,
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<unk>",
+  "padding": true,
+  "sp_model_kwargs": {},
+  "spaces_between_special_tokens": false,
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-180/trainer_state.json

@@ -0,0 +1,195 @@
+{
+  "best_metric": 1.1286808252334595,
+  "best_model_checkpoint": "./mistral/22-04-24-Weni-WeniGPT-Agents-Mistral-1.0.11-SFT_Experiment with SFT and a new tokenizer configuration for chat template of mistral-2_max_steps-330_batch_8_2024-04-22_ppid_9/checkpoint-90",
+  "epoch": 3.2142857142857144,
+  "eval_steps": 30,
+  "global_step": 180,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.17857142857142858,
+      "grad_norm": 0.45132189989089966,
+      "learning_rate": 0.00019999521087449523,
+      "loss": 1.5157,
+      "step": 10
+    },
+    {
+      "epoch": 0.35714285714285715,
+      "grad_norm": 0.25432512164115906,
+      "learning_rate": 0.00019942107065112286,
+      "loss": 1.1691,
+      "step": 20
+    },
+    {
+      "epoch": 0.5357142857142857,
+      "grad_norm": 0.30843719840049744,
+      "learning_rate": 0.0001978954027238763,
+      "loss": 1.0466,
+      "step": 30
+    },
+    {
+      "epoch": 0.5357142857142857,
+      "eval_loss": 1.1547143459320068,
+      "eval_runtime": 36.25,
+      "eval_samples_per_second": 1.269,
+      "eval_steps_per_second": 0.331,
+      "step": 30
+    },
+    {
+      "epoch": 0.7142857142857143,
+      "grad_norm": 0.35677382349967957,
+      "learning_rate": 0.00019543280877920072,
+      "loss": 1.0075,
+      "step": 40
+    },
+    {
+      "epoch": 0.8928571428571429,
+      "grad_norm": 0.3124666213989258,
+      "learning_rate": 0.00019205685752689177,
+      "loss": 0.9662,
+      "step": 50
+    },
+    {
+      "epoch": 1.0714285714285714,
+      "grad_norm": 0.3985981047153473,
+      "learning_rate": 0.00018779985913140924,
+      "loss": 0.8783,
+      "step": 60
+    },
+    {
+      "epoch": 1.0714285714285714,
+      "eval_loss": 1.12884521484375,
+      "eval_runtime": 36.2483,
+      "eval_samples_per_second": 1.269,
+      "eval_steps_per_second": 0.331,
+      "step": 60
+    },
+    {
+      "epoch": 1.25,
+      "grad_norm": 0.40197721123695374,
+      "learning_rate": 0.0001827025559814854,
+      "loss": 0.7525,
+      "step": 70
+    },
+    {
+      "epoch": 1.4285714285714286,
+      "grad_norm": 0.4119006395339966,
+      "learning_rate": 0.0001768137327575751,
+      "loss": 0.6832,
+      "step": 80
+    },
+    {
+      "epoch": 1.6071428571428572,
+      "grad_norm": 0.3348449766635895,
+      "learning_rate": 0.00017018974952906884,
+      "loss": 0.6778,
+      "step": 90
+    },
+    {
+      "epoch": 1.6071428571428572,
+      "eval_loss": 1.1286808252334595,
+      "eval_runtime": 36.2515,
+      "eval_samples_per_second": 1.269,
+      "eval_steps_per_second": 0.331,
+      "step": 90
+    },
+    {
+      "epoch": 1.7857142857142856,
+      "grad_norm": 0.49415308237075806,
+      "learning_rate": 0.0001628940023498477,
+      "loss": 0.682,
+      "step": 100
+    },
+    {
+      "epoch": 1.9642857142857144,
+      "grad_norm": 0.28949180245399475,
+      "learning_rate": 0.00015499631651465085,
+      "loss": 0.544,
+      "step": 110
+    },
+    {
+      "epoch": 2.142857142857143,
+      "grad_norm": 0.4506300687789917,
+      "learning_rate": 0.00014657227828320635,
+      "loss": 0.4609,
+      "step": 120
+    },
+    {
+      "epoch": 2.142857142857143,
+      "eval_loss": 1.1452628374099731,
+      "eval_runtime": 36.2339,
+      "eval_samples_per_second": 1.27,
+      "eval_steps_per_second": 0.331,
+      "step": 120
+    },
+    {
+      "epoch": 2.3214285714285716,
+      "grad_norm": 0.49903905391693115,
+      "learning_rate": 0.000137702511467984,
+      "loss": 0.5106,
+      "step": 130
+    },
+    {
+      "epoch": 2.5,
+      "grad_norm": 0.422453910112381,
+      "learning_rate": 0.0001284719058091194,
+      "loss": 0.4149,
+      "step": 140
+    },
+    {
+      "epoch": 2.678571428571429,
+      "grad_norm": 0.536363959312439,
+      "learning_rate": 0.00011896880452149077,
+      "loss": 0.3946,
+      "step": 150
+    },
+    {
+      "epoch": 2.678571428571429,
+      "eval_loss": 1.1766327619552612,
+      "eval_runtime": 36.2209,
+      "eval_samples_per_second": 1.27,
+      "eval_steps_per_second": 0.331,
+      "step": 150
+    },
+    {
+      "epoch": 2.857142857142857,
+      "grad_norm": 0.5005641579627991,
+      "learning_rate": 0.00010928415878967781,
+      "loss": 0.4512,
+      "step": 160
+    },
+    {
+      "epoch": 3.0357142857142856,
+      "grad_norm": 0.4409847557544708,
+      "learning_rate": 9.951065730286553e-05,
+      "loss": 0.3759,
+      "step": 170
+    },
+    {
+      "epoch": 3.2142857142857144,
+      "grad_norm": 0.33086544275283813,
+      "learning_rate": 8.974183916063968e-05,
+      "loss": 0.2669,
+      "step": 180
+    },
+    {
+      "epoch": 3.2142857142857144,
+      "eval_loss": 1.212720274925232,
+      "eval_runtime": 36.2554,
+      "eval_samples_per_second": 1.269,
+      "eval_steps_per_second": 0.331,
+      "step": 180
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 330,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 6,
+  "save_steps": 90,
+  "total_flos": 1.7291593631399936e+17,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-180/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a8be66747f8b02c498e589159fe29b715061389cad37e2c67817b188a9fccb8e
+size 5368